AFRICA TECHNOLOGY TALENT STUDY

NIGERIA & KENYA DEEP DIVE

JANUARY 2019 AGENDA

AFRICA TECHNOLOGY TALENT STUDY

Overview of Africa and Emerging Talent Trends In Africa

Talent Stack of the Job Families analysed, Job role/Skill level analysis

Major Talent Hotspots : Hotspots of peer employers Nigeria Industry Level Analysis : Top peer employers, workloads, talent maturity analysis and salary distribution

Kenya Start-up Deep Dive: Analysis of Funding, Acquisitions and top start-ups

University Analysis: Talent supply analysis, Professors profiling

2 2 Africa Overview: Large workforce of ~0.5 Bn. Nearly 42% of the workforce is employed outside Agriculture, in Industrial, Technology and Services Sectors

~490 Mn ~1 Mn ~7,000+ ~1,300 Total Workforce Employers Total Startups Total Universities

Talent Workforce Distribution by Country Total Workforce Distribution by Industry Top 10 counties constitutes ~60% of the overall workforce

Nigeria 12% Ethiopia 11% Congo 7%

Egypt 6% Tanzania 6% South Africa 5% 58% 30% 12% Industry Agriculture Services Kenya 4% Uganda 3% Ghana 3%

Madagascar 3% Morocco 3% Angola 3%

3 Note: The represented data has been collected from multiple sources such as World Bank, ILO and curated by DRAUP 3 Top Verticals: The biggest sector of employment has been Agriculture, largely due to the abundance of natural resources in the region. BFSI and Telecom are the fastest growing employment sectors, largely due to investments by global giants

Agriculture Manufacturing / BFSI Telecom Oil & Gas Industrial ~58% ~12% ~5% ~3% ~2% Talent Employed Talent Employed Talent Employed Talent Employed Talent Employed

Major Countries

Burundi, Burkina Faso, Chad, Algeria, South Africa, Egypt, South Africa, Egypt, Nigeria, South Africa, Egypt, Nigeria, Nigeria, Libya, Algeria and Madagascar, Mozambique, Kenya, Mauritius, Congo, Kenya, Morocco, Ghana, Kenya, Morocco, Algeria Egypt, Ghana, Mauritius Rwanda, Tanzania, Ethiopia Angola Uganda, Zimbabwe

Key Activities

• Agriculture companies in Africa • Major manufacturing • BFSI companies in Africa is • Telcom companies in Africa • Oil & Gas companies in Africa majorly produce cereals, companies in Africa is spread focusing on digital / mobile focus on providing Fixed line, focus on Oil Exploration, vegetables, dairy products and across steel, automotive, agro banking services for financial Mobile and Broadband Drilling and Production. Recent cash crops such as natural equipment manufacturing and services, wealth management services. Recent focus is on focus is on building digital oil rubber and cotton chemical and insurance cloud and 5G fields

Major Companies

4 Note: The represented data has been collected from multiple sources such as World Bank, ILO, Official Government Websites and curated by DRAUP 4 Historical Footprint: Fastest growing internet and mobile penetration (~20% increase over last 1 year) has attracted global investments from Chinese telco and US Tech giants, resulting in development of over 420 technology hubs

The Oil Economy The Internet Revolution Access to Large Market and Digital Talent • Major Oil & Gas companies especially from the • Increased technological investments by US • Over 420 active technology hubs in 92 cities across 42 countries US established their base for utilizing the and Chinese tech companies due to abundant natural resources improved infrastructure and internet • ~13% of these tech hubs have partnerships with leading Mobile Operators penetration including Orange, MTN and Vodafone • Traditional banks in the region established their presence after 1950’s for creating the financial • Adoption of mobile phones, wireless • ~50% of these hubs have partnerships with technology giants such as Google systems and regulations. They also witnessed a networks and broadband was a driving and Microsoft, focused on developing and recruiting one of the largest digital large demand from the Oil & Gas industry for factor for domestic and international workforce globally international transactions telecom companies to create their presence

BFSI

Oil & Gas

Tech Giants

Telecom

Startups YOE 1850s 1900s 1950s 1990s 2000 2005 2010 2014 2015 2016 2017 Pre 2000 2000 - 2015 2015 and beyond

5 Note : DRAUP’s proprietary talent module was used to analyse the evolution of companies 5 Talent Hotspots: Early technology adoption and favourable Government initiatives has enabled South Africa, Egypt, Nigeria, Morocco, and Kenya to emerge as hotspots in Africa

MOROCCO SOUTHERN AFRICA Computer Vision, Machine Learning, Cybersecurity, • Southern Africa is the largest ICT market in Africa by value and has a large installed cloud talent pool. The region has a Blockchain EGYPT presence of technology giants such as IBM, Microsoft and Facebook Computer Vision, Machine Learning, Human Computer • Cape Town in South Africa is the Tech Capital of Africa which has ~450-550 startups majorly present in the Stellenbosch MOROCCO Interaction, Natural Language area, employing between ~40-50K Processing, Deep Learning, • Angola and Botswana are the emerging countries in Southern Africa. They largely focus on developing technology talent in Cloud Infra, Cloud Platforms EGYPT both traditional and emerging technology areas to address the burgeoning technology adoption

NORTHERN AFRICA NIGERIA Machine Learning, Big Data, • Northern Africa is home to large talent pool in emerging technology areas such as Big Data Analytics and AI Cybersecurity, Blockchain • Egypt, Algeria and Morocco has a high technology talent in Cloud and Big Data, majorly employed by Telecommunication companies such as Huawei and Etisalat NIGERIA • Egypt has built a reputation as an offshoring destination, having increased efforts in developing the telecom infrastructure, nurturing its talent pool on advanced technologies such as Data Science, Big Data Analytics, Internet of Things (IoT), AI, and KENYA Cyber Security Cybersecurity, Machine KENYA Learning EASTERN AFRICA • Eastern Africa attracted $200 Mn technology-based investments in 2017. Kenya had the maximum share of ~75% • Ethiopia, Rwanda and Uganda are emerging as the destination for technology hotspot. In 2017, ~$52.7 Mn technology investments was collectively pooled across these nations with a major contribution from the Chinese Government • Major tech giants such as Google and Facebook are tapping these talent by creating Accelerators and ER&D centres • High adoption of mobile and fintech in Kenya is driving the country to become a hub in Blockchain and Cryptocurrency innovation

WESTERN AFRICA

SOUTH AFRICA • ~100 active tech hubs are present in the Western African region, ~55 of these active tech hubs is based in Nigeria Blockchain, Machine Learning, SOUTH AFRICA • Nigeria is the top country in Western African region that has a total workforce of ~69.5 Mn. A major chunk of talent is Natural Language Processing, Deep employed in the Agriculture and Trade sectors Learning, Computer Vision, HCI, Cloud Platforms, Cloud Infra • ~300K tech talent is present in this region. Ghana, Senegal and Ivory coast are the emerging tech hubs • ~50% of the Chinese investments was allocated to Nigeria and Cameroon for Infrastructure & Technology development

6 Note : DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type 6 Decoding African Technology Talent: ~1.8-2 Mn tech-talent pool is employed across 200+ ER&D and IT centres of major MNCs, Native Companies and Startups

Landscape Overview

~80 ~1.8-2 Mn >200 ~20-25K Total Technology & Digital Talent Hotspots Global ER&D and IT Centres Digital Job Openings Annually Talent

Technology Talent Distribution Across African Nations 285K 227K 160K 129K 115K 110K South Africa Egypt Nigeria Morocco Algeria Kenya 92K 65.5K 59K 59K 47K 46K Tunisia Ghana Angola Ivory Coast Uganda Tanzania 43.5K 42K 41K 40K 36.5K 32.5K Cameroon Ethiopia Sudan Senegal Zimbabwe Zambia 26K 25K 24K 23K 22.5K 21K Libya Madagascar Mauritius Botswana Botswana Burkin Faso 20K 17K 16K 8.5K 7.5K 6K Rwanda Malawi Congo Somalia Burundi Lesotho 7 Note: The represented data has been derived using DRAUP Proprietary Talent Database 7 Note: Technology & Digital talent includes talent involved in Software Development, IT Infrastructure and talent in new age areas such as Machine Learning, AI and Big Data/Analytics IT & Digital Centres : ER&D and IT centres of global MNCs are shifting their focus on digital transformation support. Development of cognitive computing solutions, data analytics & visualization platform development and cloud migration are some of the current focus areas

200+ ~95 ~115 ~37% ~55-60K ~15-20K ~175 companies has of these companies ER&D total talent digital talent ER&D and IT IT centres Engineering & IT has presence across centres employed employed centres In Africa centres in Africa multiple nations

Major Workloads Of Large Enterprises Johannesburg, Cape Town, Durban 45% South Africa • Blockchain solutions for financial services and supply chain sectors • Design cloud migration strategies and methodologies using BPMonCloud, IIBoC • Build open source based Big Data Platform and perform Data Visualization 22% Egypt Cairo, Giza • Design and analyse IoT based analytics for chemical & petroleum industry

8% Morocco Casablanca, Rabat, Tangiers • Design and deploy cloud services for Microsoft Azure platform • Support on Cloud infrastructure with focus on driving Microsoft Azure Business Landing and Microsoft Datacenter Management Solutions all over MEA (Natural Lagos, Port Harcourt, Abuja 8% Nigeria Language Processing, Knowledge Extraction, Speech Processing)

5% Tunisia Tunis, Megrine • Design private cloud platform with Openstack environment and internally host 3% Algeria Algiers, Boudouaou, Oran Red Hat Openshift Container Platform(OCP) • Development of Digital Banking platforms and entire IT support across all the branches and for the ATMs 2% Angola Luanda

2% Kenya Nairobi • Design RPA solutions for automating various telecom and networking operation • Development of M-Pesa, mobile based money transfer 5% Others (Congo, Ethiopia, Ghana, Tanzania, Uganda) • Build UI/UX prototypes to develop flexible and well-structured front-end architecture

8 Note : DRAUP’s proprietary talent module was used to analyse the talent spread and workloads across ER&D and IT Centres 8 Note: Total number of centres will be less than the sum of ER&D and IT centres as ~65 of these centres has both ER&D and IT functions Vertical Overview: Low labor cost has been the driving factor for Software MNCs in creating a large technology talent pool. Recent Chinese investments in Telecom and Banking verticals has enabled companies to add more IT and Digital talent Top Verticals Employing Technology Talent In Africa

60% 20% 10% 5% 5% ~1.8-2 Mn Software & Telecom & BFSI Energy / Oil & Others Total Tech Talent In Internet Networking Gas Africa Top 5 African nations accounts for ~60% of the overall technology talent pool in the region

Telecom & Software & Internet BFSI Energy / Oil & Gas Healthcare Top Employers Networking

South Africa

Egypt

Morocco

Nigeria

Kenya

Talent size Low Medium High 9 Note : DRAUP’s proprietary talent module was used to analyse talent headcount and distribution across industry verticals and top companies 9 Chinese investments in Africa has consistently increased in the last few years. Africa stands as the third largest destination for Chinese investments behind Asia and Europe. ~25% of these investments are concentrated in Nigeria and Angola for infrastructure development

~$300 Bn ~$7 Bn ~$21 Bn ~$0.5 Bn 10K+ Total Chinese Total Chinese Total Chinese Total Chinese Chinese Companies Investments In Africa Technology Investments Investments in 2018 Technology Investments trade with African (2005-2018) (2005-2018) in 2018 Nations

Overall Chinese Investments in Technology Key Insights Industry By Country Telecom vertical has attracted a major Nigeria is the only country where share of Chinese investments in Africa. Chinese companies invested ZTE sponsored female students Telecom and cloud infrastructure were the more than twice for the for pursuing IT degrees at the major areas of these investments. Huawei, development of University of the Witwatersrand ZTE are the major Chinese investors telecommunication and information technology industry

Huawei hired more than 1,000 students from South Africa and trained them in High adoption of Fintech in Africa China’s $2,400 Mn investment on China in emerging technologies. They also is well supported by Chinese Ethiopia’s telecommunication established six regional centres in South companies. M-Pesa and other industry is the highest technology Africa, Nigeria, Kenya, Egypt, Tunisia and Fintech apps has enabled money investment made ever Angola to provide technical training for up transfer easier to 2,000 local people annually

Chinese • Xiaomi and Realme is planning to enter the African market, currently Huawei, Transsion and Tecno Mobile dominate this market • companies Chinese bank provider UnionPay has launched its services across 50 African countries • Alibaba sets up a new ecommerce platform in Rwanda ramping up • SimbaPay launches Kenya to China payment service over WeChat operations • CloudWalk, an AI firm had an agreement with the Zimbabwe Government to deploy facial recognition software in Harare 10 Note: The represented data has been collected from multiple articles such as Brookings, Telegraph and curated by DRAUP 10 Data Centres in the African region is growing at a very fast pace to support the adoption of digital technologies. Demand for Cloud migration has significantly led to the creation of Colocation and Self Owned Centres creating more talent demand

Data Centre Landscape In Africa Data Centre Talent Overview In Africa Data Centre Investments 60+ 20-25 35-40 18-20K $180 Bn No of Data Centres Total number of self owned Total number of Colocation Total Data centre Talent in Estimated new investments in Africa Data Centres in Africa Centres in Africa AfricaData Centre Talent in Africa in Data Centres Data Centre Distribution – Top 5 Countries Major Data Centre Roles Major Data Centre Investments

Traditional Emerging South Africa 15 9 24 30% • Huawei is building a data centre in South Africa for • Data Centre Manager offering cloud AI and Big Data solutions to government • Cloud Infrastructure institutions, enterprises, and consumers in the African • Nigeria 4 1 5 15% Data Centre Technician Engineer region • Data Centre Engineer • Data Centre Cloud • Data Centre Architect • Liquid Telecom is planning to spend $400 Mn in Egypt for Kenya 5 5 10% Infrastructure Engineer • Cloud Operations building data centres and rolling out cloud services • Data Centre Facilities Engineer • Cloud Applications Egypt 3 1 4 25% Engineer Factors driving the growth of Data Centres in Africa • Data Centre Facilities Engineer • Cloud Security Engineer Technician Rapid adoption of Hybrid IT and cloud solutions and Mauritius 3 3 3 5% • Data Centre Architect • Cloud Support Engineer hyperscale is increasing the demand for data centres in the African region Colocation Owned Total

Companies with Data Centres African nations has the lowest talent cost globally. Raising New Data Centres IT infra & cloud talent along with the low cost advantage makes it a data centre hotspot • Microsoft is planning to launch their data centres in Johannesburg and Capetown to boost their Azure presence Adoption of broadband, high-speed internet and 4G Top Colocation Service Providers networks which is creating a higher demand in local cloud • Schneider along with 21st Century Technologies has planned to launch a based services is also fueling the growth Tier IV data centre in Nigeria 11 Note : DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type 11 Growing Cloud Adoption: Cloud adoption in Africa is growing at a rate of ~42%, creating high demand for roles such as Cloud Infrastructure Engineer and Cloud Operations/DevOps Engineer

Cloud Job Top Locations Emerging Locations ~25,000 Family South Africa Egypt Nigeria Kenya Morocco Ghana Uganda Tanzania Zimbabwe Total Cloud Talent in Cloud Enterprise Africa Architect

Cloud Infrastructure Engineer 4,700 Cloud Operations/ Cloud Enterprise Architect DevOps

Cloud Security 7,300 Architect Cloud Infrastructure Cloud Applications Engineer Engineer

Top Employers High Medium Low 5,150 Key Insights

Cloud Operations/ DevOps • Cloud adoption in Africa is growing at a rate of 42% annually, countries like South Africa, Nigeria, Kenya, Rwanda, Egypt and Morocco becoming the initial hubs for local cloud 4,450 • Cloud spending is witnessing a massive growth in the region. Revenue from private cloud grew by 17.5% to $3.3 Bn, and public cloud by 14.6% to $4.9 Bn in Africa last year Cloud Security Architect • It is estimated that ~1 Mn cloud related jobs will be created in the African region in the next five years. This will be majorly driven by large cloud service providers, telecommunications and banking / financial companies

3,400 • The key cloud computing vendors in the region are Microsoft Azure, Google Cloud Platform, Oracle Cloud, IBM Cloud and Dell Technologies, VMware. Companies such as Microsoft, Alibaba has plans to launch their data centres focused on cloud development in the coming years. This will increase the demand for Cloud Cloud Applications Engineer Infrastructure Engineer and DevOps roles in the region

12 Note : DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type 12 Fintech vertical has been the driving factor in creating new age talent. High adoption of mobile wallets, payment platforms and cryptocurrency will generate newer roles in the subsequent digital areas such as Big Data and AI

Mobile Penetration Digital / Mobile Banking Landscape Fintech Landscape

~440 Mn ~250 Mn ~65 Mn ~120 Mn ~130 300+ ~$100 Mn ~0.2 Mobile users in Smartphone users Bank Accounts in Mobile Wallets/ Mobile Money Fintech Total Funding Total techMn talent in Africa in Africa Africa Mobile Money in Service Providers Startups Raised (2018) Africa developing Africa in Africa Financial solutions

Fintech Startup landscape Growth of Fintech New Age Talent Spread Across FinTech

Africa has the largest concentration of the ~ 7-10% ~ 6-8% ~ 5-7% ~ 5-7% ~ 4-6% unbanked and underbanked population, which provides an opportunity for telecom Big Data & Cybersecurity ML / AI RPA Cloud Analytics 27% equipment manufacturers to provide infrastructure and cutting edge digital 36% solutions South Africa, Nigeria, Egypt, South South Africa, Major Nigeria, Egypt, South Africa, South Africa, Egypt, Locations Morocco Egypt Africa Egypt Nigeria China’s high investment and fast growth in Fintech sector has enabled them to take their financial services such as lending, Major 21% insurance and wealth management to Africa Companies 16% Top Chinese Fintech Accelerator in Africa South Africa Nigeria Kenya Rest of Africa Key Insights • Banks and Fintech in Africa has adopted cloud to reduction the data management costs Top Fintech Startups • Mobile and internet payments collectively dominate the digital payments space contributing  Ant Financial has launched a $10 Mn African ~83% of total digital payments transactions innovators fund in South Africa • Insurance companies in Africa are currently exploring ways of using IoT for enabling usage-  Huawei partnered with more than 10 Fintech based auto insurance startups like M Pesa in Africa for local market access 13 Note : The represented data has been collected from multiple articles such as GSMA, Fin24 and DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type 13 Emerging Startup Zones: Uganda, Ghana & Rwanda are emerging hotspot for technology talent. Major tech giants such as Google and Facebook are tapping these talent by creating Accelerators and ER&D centres Uganda Ghana Rwanda Hotspots: Kampala, Mbarara Hotspots: Accra Hotspots: Kigali

Emerging Tech Startups Top Employers Emerging Tech Startups Top Employers Emerging Tech Startups Top Employers

• Uganda is one of the leading nation in Africa with • Google’s first African AI centre will be launched in Ghana in • The Rwanda Government had played a significant role in advanced technological and innovation capabilities the next year driving digital transformation initiatives. It is emphasizing and developing long term plans and investing in huge IT • It is home to more than 15 accelerators, incubators • Accra, the capital city of Ghana is a major technology Infrastructure and other small tech hubs of which more than 50% hotspot with ~16 tech hubs and accelerators are located in Kampala alone • The capital city of Rwanda, Kigali, is turning into the tech • Ghana has high presence of software development, cloud hub of Sub – Saharan Africa. Kigali has a higher presence • Google Developers Group (GDG), is a popular circle and cybersecurity engineers majorly employed across large of talent in the field of cybersecurity, big data and for developers in Kampala enterprises in the region software development

• These hotspots are home to big firms such as MTN, • Ghana government has expressed a lot of interest on • The city is focusing on developing modern infrastructure Huawei and Upwork. A significant amount of cloud cryptocurrency and blockchain technology and has taken to facilitate operations of tech companies in the field of talent is present in Uganda in the region lot of initiatives fintech, big data and cybersecurity

14 Note : DRAUP’s Proprietary Talent Module was used to identify the Startups and Hotspots 14 A new talent sourcing model is getting adopted in Africa where native companies build and train distributed engineering teams. Large MNCs hire these talent enabling them to leverage Africa’s untapped grey matter talent pool without any physical existence

1 2 3 Fresh and experienced talent enroll with Hired talent undergoes a technical training Trained talent is matched up with the requirements from Talent Sourcing Model talent sourcing firms program across various technologies in the SDLC MNCs and is allocated accordingly

Sample Profile – Yinka Yinka joins Andela with 4 years of work experience in Gets trained in Python and Django through Andela’s training Aligned to Zebra as a Software Developer and built integration frameworks Makanjuola IT systems engineering module for insurance companies using Python Case Study: How Andela is helping MNCs in tapping the technology talent in Africa?

Andela helps companies build high-performing, distributed engineering teams with Africa's most talented software developers. Based in Nigeria, Kenya, and Uganda, Andela developers work as full-time, remote engineers with leading technology firms around the world ~130,000 ~1,100+ ~200+ ~6 Months ~60+ Total no of Applicants till Total no of days for On Total Developers Hired Hiring Partners Total no of skills assessed (2018) boarding

Sample Stacks Key Partner Profile Sample Profile

WEB Yinka Makanjuola Software Developer JavaScript Angular React • In July 2016, Andela partnered with The Zebra, a comprehensive car The Zebra insurance comparison site to improve their mobile user experience and PHP Laravel migrate their systems to a micro services architecture Responsibilities: Python Django • Starting with 2 Andela developers, they’ve scaled rapidly to the 13 • Build Direct Rate Integration Framework and Turbine developers today who are working as full-time team members on 5 (DRIFT), a highly scalable and customizable asynchronous Ruby Rails different Zebra teams, including customer acquisition, digital micro service marketing, data and platform • Build Ad Turbine to fetch and consolidate ads from multiple MOBILE Sample Job Roles: • Software Developer • Full-Stack Developer ad exchanges Android Java • Automate the generation of sales using lead data provided Top Hirers from Andela by the insurance partners iOS Swift Education: DevOps BSc. Computer Engineering at University of Lagos 15 Note : The represented data has been collected from Andela curated by Draup 15 Demand Analysis: The demand for jobs in emerging technologies such as Cloud, AI/ML, Data Science and Big Data is significantly high when compared to the traditional roles such as Software Development and Testing and Infrastructure / Support roles

Demand Analysis by Technology ~5,100 Digital Job Openings in Africa for the past 90 days (Across 7 job clusters analysed) High Nascent Capabilities Niche Capabilities Emerging Capabilities Mature Capabilities

~950 ~250 ~250 ~3,650 Big Data Analytics South Africa Egypt Nigeria Morocco Cloud Development Machine Learning AI Demand Analysis by Country Human-Computer Interaction Job Family South Africa Egypt Nigeria Morocco

Software Software Development Cybersecurity Development

Talent Talent Pool Demand Risk Management Data Visualisation Threat Intelligence & Mobile Applications AI/ML/Data Science Monitoring Enterprise Applications Cloud IoT Engineering User Interface Design Big Data/ Analytics

Low High Internet of Things Talent Pool Maturity AI/ML IoT Security S/W Dev. Cloud UI/UX Big Data Security • Demand for traditional and legacy roles are stagnant, while more demand is UI/UX witnessed across the new age roles • Automation and analytics technology roles are gaining importance and will be of higher demand in the near future Low Medium High 16 Note : The represented data has been collected from DRAUP’s Proprietary Talent Module was used to analyse demand across job families 16 NIGERIA – TALENT DEEP DIVE ANALYSIS

17 17 NIGERIA - OVERVIEW

~69.5 Mn ~160K ~600 Total Workforce Total Tech Talent Total Startups

Insights

The Infrastructure vertical contributes ~35% of the country’s total GDP. Investments in infrastructure projects is 1 worth $100 Bn and is the second largest spender after South1 Africa in the region

Nigerian government invested $50 Bn in ICT till 2018 and pooled ~$40 Bn through FDI. They are also planning to 2 invest $88 Bn on digital technologies such as Blockchain,1 AI/ML and Data Science

The government is planning to grow Nigeria as a major destination for data science, advanced analytics and big 3 data projects outsourcing and is aiming to generate ~10%1 of the global analytics business worth $3.3 Bn in revenue by 2020

Nigeria launched the world’s first fully digital end-to-end block chain based commodity trading and finance 4 platform in partnership with Binkabi and AFEX Commodities Exchange aimed at reducing the intermediaries in agriculture commodity trading

18 Note: The represented data has been collected from Nigerianstat and curated by Draup 1818 Nigeria has a total workforce of ~69.5 Mn with a major chunk of talent employed in the Agriculture and Trade sectors

Population: ~203 Mn Unemployment rate* ~23.1% GDP ~$376 Bn Literacy rate*: ~65.1% GDP growth rate Median age ~20 Years ~2.1% Top Spoken Languages: English, Yoruba, Fula, Hausa, Igbo Median Household Income Sex ratio 50 Female/51 Male $645

Percentage of workforce across different industries Agriculture industry employs ~49% of the total workforce and contributes ~21% of the total GDP. The government is continuously investing to improve some infrastructure Total Workforce : ~69.5Mn deficit, like access road, water supply, power supply for increasing the agriculture exports

Telecom segment in Nigeria has reached over $35 Bn investments in 2017, of the total $50 Bn Information and Communication Technology (ICT) investment by the Nigerian Government. ~7-10% of the overall Nigerian working population is employed in this segment

Over 90% of individuals and corporate businesses in Nigeria completely rely on the mobile industry for their day-to-day transactions. Number of mobile subscribers in Nigeria is ~240 Mn

China is Nigeria’s largest contractor and partner in infrastructure projects with total volume of projects estimated at US$77 Bn. A majority of these investments are diversified into development of connectivity infrastructure and for telecom and technology infrastructure development

19 Note: The represented data has been collected from Nigerianstat and curated by Draup 19 Location Hotspot: Lagos is the key hotspot in Nigeria. Yaba, Mushin and Ikoyi are the home for startups, employers and universities respectively

Nigeria ~55 ~31 ~165 ~20 Total Tech Hubs in Nigeria Total Tech Hubs in Lagos Total Universities in Nigeria Total Universities in Lagos

Hotspots in Lagos Abuja Employer Hotspot Startups Hotspot University Hotspot • Yaba is the hotspot for Startups in • Mushin is the university hotspot in Lagos • Ikoyi Area is the employer Lagos Lagos hotspot in Lagos • Yaba’s Startups received $115 Mn • There are about 10 universities in • Ikoyi Area (Victoria Island, Lagos investment which is 20% of the and around Mushin, Lagos Island, Ajah and Lekki) has total African Investment • The Lagos state government ~10,000 companies in major • The Africa’s most recognized e- partnered with Samsung to sectors such as Telecom, Oil & commerce startup Konga is based develop technical education by Lagos Gas, Engineering, Pharmacy, etc. out of Yaba setting academics within colleges Anchor University

Mushin Key Insights National Open Lagos State University of Nigeria University • Lagos has the largest tech hub ecosystem with ~31 active tech hubs of the total 440+ tech hubs in Africa. Lagos accounts to ~70% of the Yaba Federal College of national industrial investments making it attractive to job seekers across the country Co Creation Hub Education NG Hub • Abuja is the second largest city in Nigeria which is growing as a Startup city with more number of young entrepreneurs and tech talents. International Christian Me Cure Abuja Technology Village is one of the major SEZ promoting technology research, incubation and development University Iroko Airtel MTN Shell • Lagos hosts various tech parks promoting MNCs and Startups in setting up their centres. Few of these are Zone Tech Park, Co-creation hub, IBM MEST, Capital Square, Passion Incubator, Leadpath Nigeria, Impact Hub, iDEA Hub and NG_Hub Ikoyi Area • Africa’s most recognized “African University of Science and Technology” is at Abuja. The city is surrounded by several other universities which makes it a hotspot for fresh talent hiring 20 Note : DRAUP’s Proprietary Talent Module was used to analyse hotspots by locations and Industry wise 20 Digital Job families: ~79% of the overall tech talent in Nigeria is spread across Software Development and digital verticals. While the talent spread in core digital clusters such as AI/ML, Cloud, Security, IoT and Analytics is ~35% of the overall tech talent

Employed talent in Digital Jobs across 7 Job Families

Total Talent across IT and Digital job families: ~160,000

70,500 33,000

27,000

10,000 11,000 Others

3,000 3,000 2,500 Others include talent in System Integration, IT Software Data Science/ Big Data/ Cloud IoT Security UI/UX Consulting and Development ML/AI Analytics/BI Support

Software Big Data System IoT Design Cyber Security Data Centre Data Scientist Cloud Engineer UI/UX Designer Developer Engineer Engineer Engineer Technician

Business Full Stack Cloud Solution Network Security User Experience System Intelligence Data Analyst IoT Engineer Developer Architect Engineer Designer Analyst Analyst

Mobile Application Cloud Operations Network ML Engineer Big Data Developer IoT Specialist Security Analyst UI Developer Engineer Engineer Engineer

Cloud Data Science Network Support Project Web Engineer Infrastructure Big Data Analyst IoT Developer Graphic Designer Programmer Engineer Manager Engineer 21 Note: The represented data has been derived using DRAUP Proprietary Talent Database 21 Nigeria Technology Talent Distribution: Precisely estimating the talent suited for digital roles, involves several interviews and deeper understanding of technical stacks across resumes and profiles Total Talent across 7 tech job families analysed:

70,500 3,000 10,000 11,000 3,000 27,000 2,500 Software Data Science/ Big Data/ Cloud IoT Security UI/UX Development ML/AI Analytics/BI Top companies employing Digital Talent

Other Major Players

22 Note: The represented data has been derived using DRAUP Proprietary Talent Database 22 Top Skills: Large proportion of employed talent pool is skilled in HTML, SQL, and Java

SQL 19,000 HTML 18,000 Java 14,000 C/C++ 11,000 PHP 10,600 High

Shell 10,000 .NET 6,000 Python 6,000 jQuery 5,000 XML 3,600

Node.js 2,300 Ajax 2,000 Git 1,600 Ruby 700 Data Warehousing 600 Medium Shell Scripting 500 Docker 500 Ruby on Rails 450 Spark 360 Perl 350

Deep Learning 280 Perl 260 Hadoop 250 Jenkins 220 Kubernetes 150 Low

Scala 100 Ansible 100 Chef 50 NLP 50 Puppet 50

23 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 23 Top Skills: Java, Neural Networks, SQL are the top skills identified across Software Development, AI/ML and Cloud job families respectively

Software Development AI/ML/Data Science Cloud

Neural Java PHP C/C++ .Net NLP Angular.js SQL Git Docker Networks

10,500 90 1,000

8,300 8,000

50 40 4,400

260 200

Java PHP C/C++ .NET Neural Networks' NLP Angular.js SQL Git Docker

24 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 24 Top Skills: Data Warehousing, MongoDB, Python, Penetration Testing and CSS are the top skills identified across Big Data / Analytics, IoT, Security and UI/UX job families respectively

Big Data/ Analytics IoT Security UI/UX

Data Penetration Intrusion Interaction MongoDB Scala Python Arduino Node.js CSS HTML Warehousing Testing Detection Design

170

160 160 400 250 250

70 150 150 50 60

Data MongoDB Scala Python Arduino Node.js Penetration Intrusion CSS HTML Interaction Warehousing Testing Detection Design

25 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 25 Cost Analysis: High demand for Cloud and Big Data talent is driving the high salary for these Job roles

$36,000 Average Salary

$37,000 $40,000 $41,000 $28,000 $33,000 $39,000

$52,000 $51,000 $50,000 $47,000

$41,000 $42,000 $42,000 $41,000 $38,000 $35,000 $33,000 $30,000 $29,000 $28,000 $28,000 $26,000 $25,000

Median Salary (USD) per annum per (USD) Salary Median $22,000

Entry (0-5) Middle(5-10) Senior (10+)

Software Development Big Data Analytics Cloud UI/UX Security Artificial Intelligence

26 Note: The represented data has been derived using DRAUP’s Talent Simulation Module 26 Nigeria Talent Distribution: ~60% of the Digital and IT talent is employed by the top 5 verticals. Software & Internet, and Oil & Energy collectively employs ~43% of this talent. Overall Digital and IT talent employed by Startups is ~1,000

1 Enterprises 2 Startups Total Digital and IT talent across Enterprises : 40% 33% ~ 159,000 Total Digital and IT Talent ~1,000

10% 6% 6% 5%

Software & Internet Oil & Energy Healthcare Telecommunications BFSI Others Top Employers Top Employers

27 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 27 Note: Others include talent from industries like Semiconductors, Biotechnology, etc. Software/Internet Industry Deep Dive: Talent Maturity Analysis – Over 52% of the employed digital talent in analysed job families have 0-5 years of experience

Employed Talent Distribution Across Job Roles and Years of Experience

Enterprise/Startup Talent Employed Talent is (analyzed job roles) ~53,000

~24,000 ~700 ~5,000 ~1,000 ~800 ~18,000 ~3,500

8% 10% 14% 16% 18% 25% 15% 35% 21%

32% 31% 29%

40%

39% 78% 69%

53% 52% 54%

35% 26%

Software Development AI/ML/Data Science Cloud Big Data/ Analytics IoT Security UI/UX

0-5 Years 5-10 Years 10+ Years 28 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 28 Software/Internet Industry Deep Dive : Software development Job family constitutes majority of the employed digital talent; Tech Giants have high focus on Security and IoT services

AI/ML/ Big Data/ Software Data Cloud IoT Security UI/UX Products/Technologies Analytics Science

Focus Areas: • Cloud services for CWG smart utility solution and Payment 250 - 300 85% 0% 0% 0% 2% 13% 0% Gateways • CWG SAAS for SMERP solutions

Focus Areas: • Visual Recognition for IBM Watson 150 - 200 83% 0% 4% 0% 9% 4% 0% • IBM IoT Blockchain • IBM Cloud Security solutions

Focus Areas: • Cyber Security for endpoint security solutions 150 - 200 81% 0% 0% 0% 7% 10% 2% • Cloud Computing Services • Business Intelligence and Analytics

Focus Areas: • Cloud Solutions for Sitelock and Windows hosting 96% 0% 2% 0% 0% 0% 2% 100 - 150 • Application Development: PayChoice – Payment Automation Product

Focus Areas: • Cloud Services for SAP 20 - 40 50% 0% 0% 0% 0% 50% 0% • Security for hybrid IT • Business Intelligence and Analytics • Digital data management, Cybersecurity 0% 0-25% 25-50% 50-100%

29 Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type 29 Oil & Energy Industry Deep Dive: Talent Maturity Analysis - ~39% of the employed digital talent in analysed Job families have 0-5 years of experience

Employed Talent Distribution Across Job Roles and Years of Experience

Enterprise/Startup Talent Employed Talent is (analyzed job roles) ~7,000

~4,750 ~200 ~250 ~500 ~150 ~700 ~450

9% 12% 24% 24% 33% 38% 28% 45% 29%

28% 36%

43% 40% 35%

62% 59% 49% 40%

24% 20% 22%

Software Development AI/ML/Data Science Cloud Big Data/ Analytics IOT Security UI/UX 0-5 Years 5-10 Years 10+ Years

30 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 30 Oil & Energy Industry Deep Dive: Software development job family constitutes majority of the employed digital talent; Top Employers have high focus on Security, Bigdata/Analytics and Cloud services

Software AI/ML/Data Big Data/ Cloud IOT Security UI/UX Products/Technologies Development Science Analytics

Focus Areas: • Predict and maintain compressors, valves using IoT and 350 -400 60% 2% 6% 4% 2% 15% 11% Machine Learning • Using AI for complex data interpretation for offshore and onshore operations

200-250 70% 0% 7% 0% 5% 11% 7% Focus Areas: • Subsurface data analysis using AI

Focus Areas: • Handle pumping equipment using Human Machine 200-250 71% 3% 3% 7% 3% 10% 3% Interface(HMI) and AI • Analyse performance of rotating equipment to detect failures using predictive models

Focus Areas: 160-200 66% 0% 5% 5% 5% 14% 5% • Development of submersible robots to monitor and analyse deep water drilling and exploration using AI

60-100 66% 0% 17% 0% 0% 17% 0% Focus Areas: • Track oil tankers and vessels using IoT

0% 0-25% 25%-50% 50-100%

31 Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type 31 HealthCare Industry Deep Dive: Talent Maturity Analysis - ~43% of the employed digital talent in analysed Job families have 0-5 years of experience

Employed Talent Distribution Across Job Roles and Years of Experience

Enterprise/Startup Talent Employed Talent is (analyzed job roles) ~1,750

~500 ~50 ~50 ~350 ~250 ~300 ~250

20% 23% 25% 25% 33% 33% 32%

24% 30% 25% 30%

32% 33% 33%

56% 50% 47% 45% 33% 33% 36%

Software Development AI/ML/Data Science Cloud Big Data/Analytics IoT Security UI/UX 0-5 Years 5-10 Years 10+ Years

32 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 32 HealthCare Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on IoT and Security

AI/ML/ Software Big Data/ Data Cloud IoT Security UI/UX Products/Technologies Development Analytics Science

Focus Areas: 100-150 34% 0% 0% 0% 33% 0% 33% • Medical Intelligence and Surveillance Systems to review the dynamics of the healthcare

60- 100 50% 0% 0% 0% 0% 50% 0% Focus Areas: • Machine Learning in Medical Devices

60 -100 50% 0% 0% 0% 50% 0% 0% Focus Areas: • Electronic Medical Records, Remote Monitoring

0% 0-25% 25%-50%

33 Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type 33 Telecommunications Industry Deep Dive: Talent Maturity Analysis - Over 39% of the employed digital talent in analysed Job families have 10+ years of experience

Employed Talent Distribution Across Job Roles and Years of Experience

Enterprise/Startup Talent Employed Talent is (analyzed job roles) ~5,250

~2,800 ~100 ~1,000 ~150 ~250 ~600 ~350

31% 34% 30% 39% 45% 47% 46%

33% 40% 44% 33% 30% 33% 42%

33% 30% 25% 24% 28% 20% 13%

Software Development AI/ML/Data Science Cloud Big Data/ Analytics IoT Security UI/UX

0-5 Years 5-10 Years 10+ Years

34 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 34 Telecommunications Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on Security and Cloud services

AI/ML Software Big Data/ /Data Cloud IoT Security UI/UX Products/Technologies Development Analytics Science

Focus Areas: • Hyper cloud solutions 450 – 500 50% 0% 23% 2% 5% 18% 2% • Big Data • 5G Networks

Focus Areas: • Business Cloud Services platform for storage and backup 275 – 300 56% 0% 16% 6% 3% 13% 6% Analytics for customer insight for a complete view of customer satisfaction, revenue, and device and network performance

Focus Areas: 250 – 300 42% 0% 25% 0% 12% 17% 4% • Cloud and Network Function Virtualization Infrastructure (NFVi) solutions • Cloud applications for telecom providers

Focus Areas: 150 – 200 36% 0% 18% 10% 9% 27% 0% • Cyber Security apps for smartphone users • 4G/5G Networks

Focus Areas: 150 - 200 46% 0% 23% 0% 8% 8% 15% • Nokia AirFrame open edge server for cloud deployments to drive implementation of RAN, MEC and 5G • Cognitive Analytics for telecom service providers 0% 0-25% 25%-50% 50-100%

35 Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type 35 BFSI Industry Deep Dive: Talent Maturity Analysis - Over 41% of the employed digital talent in analysed Job families have 0-5 years of experience

Employed Talent Distribution Across Job Roles and Years of Experience

Enterprise/Startup Talent Employed Talent is (analyzed job roles) ~6,000

~3,500 ~100 ~500 ~500 ~50 ~750 ~600

20% 20% 20% 30% 27% 40% 37%

20% 20% 27%

36% 35%

37% 41%

60% 60% 53%

35% 37% 23% 22%

Software Development AI/ML/Data Science Cloud Big Data/Analytics IoT Security UI/UX 0-5 Years 5-10 Years 10+ Years

36 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 36 BFSI Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on Security, Bigdata/Analytics and UI/UX design services

Software AI/ML/Data Big Data/ Cloud IOT Security UI/UX Products/Technologies Development Science Analytics

Focus Areas: • AI & Machine Learning 350 -400 54% 2% 13% 5% 2% 15% 9% • Cloud Computing Services • Big Data Analytics for customer segmentation & targeting

Focus Areas: 350-400 58% 2% 10% 6% 2% 10% 12% • Network and security services for mobile banking app • Big Data services to maintain customer information system

Focus Areas: • Digital Banking Analytics 250-300 56% 0% 8% 8% 6% 14% 8% • AI • Network Security

Focus Areas: 250-300 50% 3% 8% 6% 2% 14% 17% • GTPay- secure internet payment gateway • Cybersecurity solutions for online mobile banking services

Focus Areas: 75-100 60% 0% 0% 20% 0% 0% 20% • Advanced Analytics and Bigdata • Design FlashMe Cash – Mobile banking platform

0% 0-25% 25%-50% 50-100%

37 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 37 Nigeria Startup Overview: Nigeria has the largest startup base in Africa and is home to Jumia, a unicorn startup. Nigeria has a presence of ~600 Startups and ~15 Accelerators. Lagos has ~80% of the overall startups in Nigeria

Startup Overview ~600 ~15 ~114 Mn ~15 • Google and Facebook, opened their own hubs and launched Total number of Startups in Total number of Total funding received in Total Hubs Nigeria Accelerators 2017 accelerator programmes in Nigeria in 2018

• Total funding of ~$117 Mn has been received by the Nigerian startups in the first three quarters of 2018, of which 20% is grants Major Startup Software Healthcare Edtech Travel E-Commerce Advertising Agritech FinTech Development Verticals • Fintech startups such as Paga, Mines, and Paystack received the Bubble size indicates the intensity of Startups major funding last year. Fintech as a whole received the major Top Funded Startups share of Nigerian startup funding

Company Headcount Funding Workload

Paga is an online platform that allows users to transfer Key Startup Acquisitions ~250 $34.7M money, receive refunds and make mobile payments • Zinternet, a mobile banking provider was acquired by Konga in directly from bank accounts 2015 and in 2018 Zinox acquired Konga. This is the most notable acquisition in the Nigerian startup activity Flutterwave is an online payment gateway that allows ~100 $20.1M merchants and banks to accept, manage and process • Interswitch acquired Vanso – a mobile and security focused Flutterwave digital payments. financial technology provider in 2016. The intention of this acquisition was to expand Vanso’s geographic and product spread Mines offer digital Credit-as-a-Service platform to ~50 $13M domestic banks, mobile operators, retailers, and • Canada headquarted Firm 1001 Squared acquired Quickhelp in payment processors May,2018 for a better market access

38 Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type 38 University Ecosystem: Nigeria has ~146 universities with ~0.2 Mn graduates. Half of the total graduates has adopted STEM related courses

University Overview Course Adoption Rate Key Takeaways

 ~1 % of the student population is outside the African region

50% 50%  In Nigeria, majority of the students prefer management courses when compared to ~266,400 ~149,200 science and technology courses due to low job opportunities ~146 Total Graduates Male Graduates Universities In  Nigeria has five major training institutions which provide new age technology courses ~234,400 ~32,000 Nigeria ~117,200 such as Data Analytics, AI, Business Intelligence, Data Science, Data Mining, Machine UG PG Female Graduates STEM (Science, Linguistics and Learning Technology, Engineering Management and Math) UNIVERSITY DISTRIBUTION TOP HIRING COMPANIES COST PER HIRING $10,500 Intensity of University HIGH LOW $ 11,000 $ 10,000

COMPUTER SOFTWARE AI/ML/DATA BIG UNIVERSITY CLOUD CYBERSECURITY IOT UI/UX GRADUATES DEVELOPMENT SCIENCE DATA/ANALYTICS

Kaduna Curriculum Maturity Federal University Nigeria of Technology, ~910-950 LOW LOW LOW HIGH Yola Minna Abuja Ilorin HIGH MEDIUM LOW Abeokuta University of Nigeria ~500-540 MEDIUM LOW Lokaja Makurdi Ibadan University of Ibadan ~400-440 HIGH LOW LOW Number of Courses Enugu Lagos State Ota Lagos Ondo ~360-410 MEDIUM LOW LOW Benin University, Ojo Ahmadu Bello Okija ~330-370 HIGH LOW LOW LOW HIGH MEDIUM LOW Uturu Calabar University Covenant University ~90-130 HIGH LOW LOW LOW

39 Note : DRAUP’s Talent Module analysed universities in Nigeria and nearby locations to identify top universities and key courses 39 University Deep Dive: Federal University Of Technology, Minna

Federal University of COURSES OFFERED TOP HIRING COMPANIES KEY ALUMNI Technology, Minna Oluwaseun Sonaike • B.Tech/B.Eng. Computer Science Head, IT Security Management www.futminna.edu.ng • Ph.D. Computer Science at Keystone Bank Limited Enrolments: ~20,650 • M.Tech. Computer Science Under-Graduate Post-Graduate Fatai Olajide Technical Head (Cross-river ~18,900 ~1,750 KEY TOPICS Region) at Globacom Graduates: ~3,750 Engr. James Ugbojoide Under-Graduate Post-Graduate • Data Structures KEY STARTUPS BORN Chief Technology • AI Officer at Content Oasis Ltd ~3,430 ~320 • Cryptography Theory I • Cyber Crime & Countermeasures Academic Programmes : ~37 • Cloud Computing Vincent Agalab • Cyber Forensic Zuhri Concept Designs Chief Technology Officer at Dogged WELLS Computer Related Programmes: ~5 • Data Mining Limited dew marketing ltd • Current trends In Cyber Security Amakiri Welekwe Full Time Professors : ~84 COST PER HIRING Head, Information Technology at Shorelink Oil and Computer Science Professors: ~28 Gas Services Limited

AWARDS HIGH LOW Sani Lokoja $10,500 AD/Head, Information & • The Federal University of Technology Minna (FUT Minna) is the third best university in $ 11,000 $ 10,000 Communication th the 6 Nigerian Universities Research Development Fair (NURESDEF) Technology at NEMA

40 Note : The above information is based on data provided by Federal University Of Technology and DRAUP Proprietary Database 40 University Deep Dive: University of Ibadan

University of Ibadan COURSES OFFERED TOP HIRING COMPANIES KEY ALUMNI https://www.ui.edu.ng/ Owen Eholo • B.Sc. Computer Science Technical Director at Huawei • M.Sc. Computer Science Technologies Enrolments: ~24,500 • M.Phil./Ph.D. Computer Science Under-Graduate Post-Graduate Emmanuel Ibrahim Head, Enterprise IT ~14,400 ~10,100 Security at Access Bank KEY TOPICS Plc Graduates: ~9,300 Matt Adesanya Under-Graduate Post-Graduate • Advanced AI KEY STARTUPS BORN CTO at Workforce Group • Data management ~5,400 ~3,900 • Advanced Programming Techniques Academic Programmes : ~81 • Real Time Programming The BlackLeo Hub Kelvin Oyanna K • Application Programming Head, Data Science Computer Related Programmes: ~4 Program at FavCode54

COST PER HIRING Kelvin Ugbana Full Time Professors : ~410 Director of Information Systems at PageInfinix Computer Science Professors: ~25

Stephen Ohiomoba AWARDS HIGH LOW $10,400 Head (Web, Payment & • University of Ibadan was awarded NMGS/CHEVRON RESEARCH AWARD 2010 for the best $ 10,800 $ 10,000 Collection/ Mobile published Doctorate Research work in the field of Petroleum and Geosciences Management) at Diamond Bank Plc 41 Note : The above information is based on data provided by University of Ibadan and DRAUP Proprietary Database 41 University Deep Dive: Covenant University

Covenant University COURSES OFFERED TOP HIRING COMPANIES KEY ALUMNI https://covenantuniversity.edu.ng/ Chukwuebuka Olisaemeka • B.E. Computer Engineering Chief Technical Officer at Listacc • B.Sc. Computer Science ltd Enrolments: ~7,900 • M.Sc. Computer Science Ojuri Folorunso Under-Graduate Post-Graduate Head, Network Operations ~5,000 ~2,900 Center & Datacenter at 21st KEY TOPICS Century Technologies Graduates: ~1,150 • System Analysis and Design Olakunle David Under-Graduate Post-Graduate • Internet Programming KEY STARTUPS BORN Head, Software & • AI Applications at Hygeia HMO ~714 ~436 • Human-Computer Interface (HCI) Academic Programmes : ~32 • Fundamental of Data Structure Startup Fiber Seyi Oguntunde • High Performance Computing & Founder/CTO at Computer Related Programmes: ~3 Database Management I Intellectric

COST PER HIRING Ayomide Adeniran Full Time Professors : ~51 Technical Product Manager at Delivery Science Inc Computer Science Professors: ~26

Adija Uzodinma AWARDS HIGH LOW $10,400 Business Analyst • Covenant University was awarded Best Private University 2017 Award​ $ 10,800 $ 10,000 Manager at RenMoney MFB LTD

42 Note : The above information is based on data provided by Covenant University and DRAUP Proprietary Database 42 University Deep Dive: Ahmadu Bello University

Ahmadu Bello COURSES OFFERED TOP HIRING COMPANIES KEY ALUMNI University Emeka Enwonwu • B.Sc. Computer Science Chief Technology www.abu.edu.ng • PGD. Computer Science Officer at eMerge Technology Enrolments: ~49,000 • M.Sc. Computer Science • Ph.D. Computer Science Under-Graduate Post-Graduate Shola Ezekiel Owokoniran Chief Web Officer at Abuja ~39,900 ~9,100 KEY TOPICS Geographic Information Systems Graduates: ~7,000 Nkem Michael Onuorah Under-Graduate Post-Graduate • Web Applications Engineering I KEY STARTUPS BORN Technical Director at BVC • Database Management Systems CONSULTING LTD ~5,700 ~1,300 • Human-Computer Interface (HCI) • Computer Knowledge and Academic Programmes : ~37 FORTRAN Programming Carven Service Limited Moses Ajayi • Formal Methods in Software Chief Technical Officer Computer Related Programmes: ~5 Development at Wavelength Integrated Power Services

COST PER HIRING Abdulrasheed Bako Zuntu Full Time Professors : ~579 Director Computer Operation at Bako Zuntu & Co. Computer Science Professors: ~30 Ltd

Peter ONIPE AWARDS HIGH LOW $10,600 Head, Transmission (Abuja & NA $ 11,000 $ 10,200 North-Central Nigeria) at Globacom

43 Note : The above information is based on data provided by Ahmadu Bello University and DRAUP Proprietary Database 43 University Deep Dive: University of Nigeria

University of Nigeria COURSES OFFERED TOP HIRING COMPANIES KEY ALUMNI http://www.unn.edu.ng/ Rahmah Omotoyosi Oshoala • B.Sc. Computer Science VP at Teknohub Solutions • M.Sc. Computer Science Enrolments: ~47,200 • Ph.D. Computer Science Christian Ogalabu Under-Graduate Post-Graduate CEO/CTO at Cosoftaas Limited ~36,300 ~10,900 KEY TOPICS Graduates: ~10,500 Chike Ilonuba Under-Graduate Post-Graduate • Machine and Assembly Language KEY STARTUPS BORN Chief Technical • Organisation of Programming Officer at BocaKonsult Services ~8,000 ~2,400 Languages LLC • Structured Programming Academic Programmes : ~93 • AI Concurrent Favour Femi-Oyewole • Programming Data Structure Chief Information Security Computer Related Programmes: ~2 Officer at NSE

Dr Alex Ndukwe Full Time Professors : ~362 COST PER HIRING Chief Technical Officer at TEKVILLE SYSTEMS Computer Science Professors: ~33

Raphael E. Emeka AWARDS HIGH LOW $10,350 Chief Technical Officer at AGE- NA $ 10,800 $ 9,900 MATE LIMITED

44 Note : The above information is based on data provided by University of Nigeria and DRAUP Proprietary Database 44 University Deep Dive: Lagos State University, Ojo

Lagos State COURSES OFFERED TOP HIRING COMPANIES KEY ALUMNI University, Ojo Olufemi Mogaji • B.Sc. Computer Science Head, Information Security www.lasu.edu.ng • M.Sc. Computer Science at Venture Garden Group Enrolments: ~25,800 • M.Phil./Ph.D. Computer Science Donald Ikechukwu Under-Graduate Post-Graduate Lead, Information Security ~23,760 ~2,040 Risk Assurance at FirstBank KEY TOPICS Nigeria Graduates: ~10,500 Abolaji Fatai Oyebo Under-Graduate Post-Graduate • Human Computer Interaction KEY STARTUPS BORN Head, Technology Services • AI (CIO) at The Nigerian Stock ~4,850 ~420 • Robotics Exchange (NSE) • Functional Programming Academic Programmes : ~65 Tajudeen Salaudeen Head ICT at Association of Computer Related Programmes: ~4 National Accountant Of Nigeria (ANAN)

Enyinna Nlemadim Full Time Professors : ~79 COST PER HIRING Manager/Head IT FUTO Microfinance Bank Computer Science Professors: ~22

Oluwasegun Akinotan AWARDS HIGH LOW $10,450 CTO at MITIGET Assurance • Long Service Award presented to 500+ faculties of Lagos State University $ 10,800 $ 10,100 and Technology Services

45 Note : The above information is based on data provided by Lagos State University, Ojo and DRAUP Proprietary Database 45 Key Professor Profiles (1/7)

Adenike O. Osofisan S.O. Akinola University of Ibadan 6 115 ~9 University of Ibadan Professor NA NA ~92 Student Population: 24,479 Senior Lecturer Student Population: 24,479 Full Time Professors: 410 Email: Full Time Professors: 410 Email: H-index Citations Publication H-index Citations Publication [email protected] https://www.ui.edu.ng/ [email protected] https://www.ui.edu.ng/ Phone:2348033013594 Phone:2348056666117 Research Goals Research Goals Research Focus: Research Focus: • Design and Implement Data warehouse for University of Ibadan • Cognition and software inspection effectiveness  Software Engineering  Data Mining • Class Cohesion Metrics in Object Oriented Systems  Knowledge Management  Data Mining  Object Oriented Systems Education Education Affiliations: Affiliations: B.Sc. Computer Science/Economics B.Sc. NA NA M.Sc. Information & Computer Science M.Inf.Sc. Ph.D. Computer Science Ph.D.

Y.O. Folajimi University of Ibadan Makolo, Angela Uche University of Ibadan Senior Lecturer NA NA ~10 Student Population: 24,479 Lecturer NA NA NA Student Population: 24,479 Email: Email: H-index Citations Publication Full Time Professors: 410 Full Time Professors: 410 [email protected] https://www.ui.edu.ng/ [email protected] H-index Citations Publication https://www.ui.edu.ng/ Phone: 8056648530 Phone: 2348038629948

Research Goals Research Goals Research Focus: • Individualize and adaptive learning in Electronic Game-Based Research Focus:  AI • Intelligent Systems for building Cognitive and Visual Analytics Context  Big Data Analytics tools for teaching Bioinformatics  Data Mining  Machine Learning • Metabolic Pathway Viewer software Education Education Affiliations: Affiliations: • Federal University of B.Sc. Computer Science B.Sc. Computer Sc. & Mathematics Technology Akure M.Sc. Computer Science NA M.Sc. Computer Science • Ekiti State University Ph.D. Computer Science Ph.D. Computer Science with Bioinformatics

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 46 Source : The above information is based on data provided by University of Ibadan 46 Key Professor Profiles (2/7)

Olanrewaju Jelili Olufunke O. Oladipupo Covenant University Covenant University 7 313 ~23 Oyelade 8 370 ~29 Associate Professor Student Population: 7878 Associate Professor Student Population: 7878 Full Time Professors: 51 Full Time Professors: 51 Email:funke.oladipupo@c H-index Citations Publication Email:ola.oyelade@cove H-index Citations Publication ovenantuniverity.edu.ng https://covenantuniversity. nantuniversity.edu.ng https://covenantuniversity. Phone:2348033013594 edu.ng/ Phone: 08035755778 edu.ng/ Research Goals Research Goals Research Focus: Research Focus: • NA • Bioinformatics  AI  Bioinformatics • Clustering  Data mining  AI • Fuzzy logic and Algorithms  Soft Computing  Algorithm Development Education Education Affiliations: Affiliations: B.Sc. Computer Science Bachelor Degree in Computer Science with Mathematics NA • University of Lagos M.Sc. Information & Computer Science M.Sc. in Computer Science • Bells University of Technology Ph.D. Computer Science Ph.D.

Isaac A.Odun-Ayo Covenant University Olamma I. Iheanetu Covenant University Senior Lecturer 1 2 ~19 Student Population: 7878 Lecturer 1 9 NA Student Population: 7878 Email: isaac.odun-ayo@ Email:olamma.iheanetu@ H-index Citations Publication Full Time Professors: 51 Full Time Professors: 51 covenantuniversity.edu.ng https://covenantuniversity. covenantuniversity.edu.ng H-index Citations Publication https://covenantuniversity. Phone: +234802882945 edu.ng/ Phone: edu.ng/

Research Goals Research Goals Research Focus: • Fuzzy Logic Research Focus: • NA  Cloud Computing • e - Human Resource Management /e - Leadership  NLP  Software Engineering • Software Development  Data Science and Robotics  Cryptography  Internet of Things Education Education Affiliations: Affiliations: • University of Delhi B.Sc. Computer Science Ph.D. Computer Science • University of Lagos M.Sc. Computer Science • University of Ibadan Ph.D. Computer Science

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 47 Source : The above information is based on data provided by Covenant University 47 Key Professor Profiles (3/7)

Onyeka Emebo Azubuike Ezenwoke Covenant University 4 37 ~2 Covenant University Lecturer 4 44 ~10 Student Population: 7878 Lecturer Student Population: 7878 Full Time Professors: 51 Email: azu.ezenwoke@Co Full Time Professors: 51 Email: emebo .onyek@ H-index Citations Publication H-index Citations Publication gmail.com https://covenantuniversity. venantuniversity.edu.ng https://covenantuniversity. Phone: +2348036878407 edu.ng/ Phone: +234-8030626181 edu.ng/ Research Goals Research Goals Research Focus: Research Focus: • Develop intelligent software systems with AI methods and • NA  AI software engineering approaches  AI  NLP  Data Mining  Machine Learning  User Experience Education Education Affiliations: Affiliations: B.Sc. Computer Science B.Sc. Computer Science • University of Zululand NA Masters - Computer Science M.SC. Computer Science • Landmark University Ph.D. Computer Science Ph.D. Computer Science

Udanor Collins N University of Nigeria Ebem Deborah University of Nigeria 5 Senior Lecturer 51 ~5 Student Population: 47171 Uzoamaka NA NA ~12 Student Population: 47171 Email: isaac.odun-ayo@ H-index Citations Publication Full Time Professors: 51 Lecturer Full Time Professors: 362 covenantuniversity.edu.ng http://www.unn.edu.ng/ Email: deborah.Ebem H-index Citations Publication http://www.unn.edu.ng/ Phone: +234802882945 @unn.edu.ng Phone: 8052810722 Research Goals Research Goals Research Focus: • Design and develop Intelligent Systems Research Focus: • Effect of interruption rate on speech intelligibility (Perceptual  Distributed and HPC • Design clusters for Research and Education Networks, Big  AI Measurement of Speech Quality and Speech Intelligibility)  Big Data Analytics Data Analytics using Machine Learning  Parallel Computing  Machine Learning  Grid Computing Education Education Affiliations: Affiliations: B.E. Computer Science B.E. Computer Science NA M.Sc. Computer Science NA MS Computer Science and Engineering Ph.D. Electronic Engineering Ph.D. Computer Science

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 48 Source : The above information is based on data provided by Covenant University and University Of Nigeria 48 Key Professor Profiles (4/7)

Salahudeen Ridwan Ezugwu Obianuju University of Nigeria Ahmadu Bello University Assumpta NA NA NA Assistant Lecturer NA NA NA Student Population: 47171 Email: Student Population: 48953 Lecturer Full Time Professors: 362 [email protected] H-index Citations Publication Full Time Professors: 579 Email:assumpta.ezugwu H-index Citations Publication http://www.unn.edu.ng/ Phone: 8065491787 http://www.unn.edu.ng/ @unn.edu.ng Phone: 2348035689222 Research Goals Research Goals Research Focus: Research Focus: • NA • NA  Software Development  AI  Cloud Computing  Object-oriented Programming  Theoretical Computing Education Education Affiliations: Affiliations: B.Sc. Computer Science B.Sc. Computer Science NA NA M.Sc. Computer Science M.Sc. Computer Science

Aliyu Garba Obiniyi Ayodele Ahmadu Bello University Ahmadu Bello University Assistant Lecturer NA NA NA Afolayan NA NA ~2 Student Population: 48953 Professor Student Population: 48953 Email: Full Time Professors: 579 Full Time Professors: 579 H-index Citations Publication Email: H-index Citations [email protected] http://www.unn.edu.ng/ Publication http://www.unn.edu.ng/ Phone: 2348068107088 [email protected] Phone: 8034518843 Research Goals Research Goals Research Focus: • NA Research Focus: • Implement VOIP using Asterisk – Java  Cloud Computing  Computer Networking  Data Science  Computer Security  Machine Learning  Cyber Security Education Education Affiliations: Affiliations: B.Sc. Computer Science B.Sc. Mathematics • Universiti Teknologi Malaysia M.Sc. Computer Science • Universiti Brunei Darussalam Master of Technology in Computer science

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 49 Source : The above information is based on data provided by University of Nigeria and Ahmadu Bello University 49 Key Professor Profiles (5/7)

Aminu Onimisi Kana Armand Florentin Ahmadu Bello University Ahmadu Bello University Donfack NA NA NA Abdulsalami NA NA ~3 Student Population: 48953 Assistant Lecturer Student Population: 48953 Senior Lecturer Full Time Professors: 579 Full Time Professors: 579 H-index Citations Publication Email: aoabdulsalami@ H-index Citations Publication Email: [email protected] http://www.unn.edu.ng/ http://www.unn.edu.ng/ abu.edu.ng Phone: 8052810722 Phone: 2348060708640 Research Goals Research Goals Research Focus: Research Focus: • NA • NA  Machine Learning  Machine Learning  Formal Ontologies  Data mining  Soft computing Education Education Affiliations: Affiliations: B.Sc. Computer Science B.Sc. Computer Science NA NA M.Sc. Computer Science and Engineering M.Sc. Computer Science Ph.D. Computer Science

Mohammed Tanko Victor Onomza Waziri Ahmadu Bello University NA NA NA Lecturer Federal University of Yahaya Student Population: 48953 NA NA NA Technology, Minna Assistant Lecturer Email: NA Full Time Professors: 579 Student Population: 20620 H-index Citations Publication Phone: NA H-index Citations Email: tymohammed@ http://www.unn.edu.ng/ Publication Full Time Professors: 84 abu.edu.ng www.futminna.edu.ng Phone: NA Research Goals Research Focus: Research Goals • NA Research Focus: • DNA based Cryptography for Image Transmission Security  Mobile and Cloud Computing  Cyber Security  Web Application Engineering  Post-Quantum Cryptology

Education Education Affiliations: Affiliations: B.Sc. Computer Science B.Sc./ED –Math NA M.Sc. Computer Science • Federal University of M.Tech. Technology Akure Ph.D

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 50 Source : The above information is based on data provided by Ahmadu Bello University and Federal University of Technology, Minna 50 Key Professor Profiles (6/7)

Abisoye Opeyemi Muhammad Bashir Federal University of Federal University of Abdullah 5 107 NA Aderiike NA NA ~17 Technology, Minna Lecturer Technology, Minna Professor Student Population: 20620 Student Population: 20620 H-index Citations Publication Email: NA H-index Citations Publication Email: el.bashir02@ Full Time Professors: 84 Full Time Professors: 84 Phone: NA futminna.edu.ng www.futminna.edu.ng www.futminna.edu.ng Phone: 234(0)8037660576 Research Goals Research Goals Research Focus: Research Focus: • NA • NA  Big Data Analytics  AI and Machine Learning  Machine Learning  Computational Intelligence  Internet of Things (IoT)  Data Mining Education Education Affiliations: Affiliations: Ph.D. Computer Science B.Sc. Computer Science • Central South University NA M.Sc. Computer Science • University of Aizu

J. K. Alhassan Shafi'I Muhammad Federal University of Federal University of Senior Lecturer NA NA ~52 Abdulhamid 12 534 ~32 Technology, Minna Lecturer Technology, Minna Email: jkalhassan@ Student Population: 20620 Student Population: 20620 H-index Citations Publication Email: shafii.abdulhamid H-index Citations futminna.edu.ng Full Time Professors: 84 Publication Full Time Professors: 84 @futminna.edu.ng Phone: 2348040000000 www.futminna.edu.ng www.futminna.edu.ng Phone: 2348040000000 Research Goals Research Goals Research Focus: • NA Research Focus: • NA  AI and Machine Learning  Cyber Security  Human Computer Interaction  Cloud Computing  Big Data Analytics  Big Data Education Education Affiliations: Affiliations: B.Tech. Mathematics/Computer Science B.Tech. Mathematics/Computer Science • Covenant University Master of Science in Computer Science • Ahmadu Bello University M.Sc. Computer Science • Kaunas University of Doctor of Philosophy in Computer Science • University of Malaya Technology Ph.D. Computer Science

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 51 Source : The above information is based on data provided by Federal University Of Technology, Minna 51 Key Professor Profiles (7/7)

Noel, Dogonyaro O. S. Adebayo Federal University of Federal University of 5 116 ~22 Moses NA NA ~2 Lecturer Technology, Minna Lecturer Technology, Minna Student Population: 20620 Student Population: 20620 Email: waleadebayo@ H-index Citations Publication Email: moses.noel@ H-index Citations Publication Full Time Professors: 84 Full Time Professors: 84 futminna.edu.ng futminna.edu.ng www.futminna.edu.ng www.futminna.edu.ng Phone: 2348030000000 Phone: 2348060000000 Research Goals Research Goals Research Focus: Research Focus: • NA • NA  Machine Learning  Cloud computing  Cryptography  Cryptography  Information Security  Network Security Education  Data mining Education Affiliations: Affiliations: B.Tech. Mathematics and Computer science B.Tech. Physics/Computer Science NA NA M.Sc. Computer Science M.Tech. Cyber Security Science

Aribisala B. S Akinnuwesi B. A Lagos State University, Ojo Lagos State University, Ojo Professor 22 2648 NA 7 109 NA Student Population: 25796 Senior Lecturer Student Population: 25796 Email: NA Full Time Professors: 79 Full Time Professors: 79 H-index Citations Publication Email: NA Phone: NA www.lasu.edu.ng H-index Citations Publication www.lasu.edu.ng Phone: NA

Research Goals Research Goals Research Focus: • NA Research Focus: • NA  Computer Vision  Database System  AI  Expert System  Computer Graphics  Neural Networking  Machine Learning Education  AI Education Affiliations: Affiliations: B.Sc. B.Sc. • Yale University M.Sc. • Mount Royal University • University of New Mexico M.Tech. Ph.D. degree in Computer Science • Bells University of Ph.D. Technology Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 52 Source : The above information is based on data provided by Federal University of Technology, Minna and Lagos State University 52 Nigerian Training Institute Profile: Few training institutions in Nigeria offers courses in new age areas. They often partner with large technology companies and unicorn startups and also is a major source for the companies to hire trained digital talent

Courses Sponsors/Partnership Key Trainers

• Clustering Corne Nagel Rahmon Ojukotola • IoT applications for Machine Learning Chief Data Scientist at Founder and Director of • Classification Models Onefi StartCredits • Object Oriented Python/Performance Optimization • Introduction to Python Arinze Akutekwe Olufemi Oyenuga • Data Pre-Processing Data Scientist at Fujitsu Data Scientist ,Oracle. UK • Introduction to Data Science Shaun Rust James Gaylard • Data Prophet Data Science Development Program Application Architect Chief Data Science • Google Making sense of data at Korbicom Officer at 4G Capital • Data Science • Data Mining Ricki Davimes Charles Copley • Machine Learning Data Scientist at Head of Data Science • Big Data Specialization JUMO.WORLD at Praekelt.org • Full Stack Developer • NA • NA • Python • REST • Angular JS • REACT • Data Analytics • AI • Business Intelligence • AI • NA • NA • Web Service Tutorial • Python 3 Tutorial • Jquery Tutorial • Sl4A Tutorial

53 Source : The above information is based on data provided by DSN, W3 Tutor, NIIT, Machine Intelligence Of Africa and curated by DRAUP 53 KENYA – TALENT DEEP DIVE ANALYSIS

54 54 KENYA - OVERVIEW

~19.6Mn ~110K ~250 Total Employment Total Tech Talent Total Startups

Insights

Kenya’s 78.4Bn USD economy is growing at a rate of ~6%. Telecommunication contributes ~62% of the total GDP 1 and is expected to grow at a rate of ~6-7% over the next1 three years driven by rapidly increasing mobile data, high investments in cloud and adoption of 4G technology

Blockchain and AI initiative by the Kenyan Government aimed at creating a single digital identity, 2 cybersecurity, overall public service delivery, land tilting,1 and for the election process. This further aims in leveraging subsequent technologies and in creating a large digital talent hub

Digital services market in Kenya will grow at a rate of ~20-25% in the next three years. Investments in areas 3 such as Cloud, Fintech and Security will support the burgeoning1 growth

4 The Government has also planned to create 20,000 IT and Digital jobs in areas such as AI, Big Data / Analytics, Security, etc. by 2030 in Konza technology city which is an emerging technology hotspot

55 Note: The represented data has been collected from KNBS and curated by Draup 55 Kenya has a total workforce of ~19.6Mn, with a major chunk of talent employed in the Agriculture and Service Sector

Population: ~49.36 Mn Unemployment rate* ~11.5% GDP ~$85.9 Bn Top Spoken Languages: Kiswahili, English Median age ~20 Years GDP growth rate 4.9% Sex ratio 50 Females/50 Males Median Household Income NA Ethnicity: Black Africans(99%)

Percentage of Workforce across different industries Kenya’s ICT sector has estimated a growth rate of 31.7% in 2017 with Total Workforce : ~49.36 Mn revenue of about $5.48 Bn, while Telecom sector contributes atmost 70% of the total revenue

Kenya ranked largest bitcoin holding country worth $1,63 Bn among African countries in 2017

Nairobi, capital of Kenya has transformed into technology epicenter with startups and innovations

Kenya has moved to 80th position globally in ease of doing business in 2018 out of 190 countries from 92nd position in 2017

56 Note: The represented data has been collected from KNBS and curated by Draup 56 Location Hotspot: Nairobi is the key hotspot in Kenya. Westlands in Nairobi is home for major startups, employers and universities. Technology hubs are sprouting up in Kisumu, Eldoret, Voi, Machakos and Nyeri to promote startups Kenya ~30 ~25 ~60 ~25 Total Tech Hubs in Kenya Total Tech Hubs in Nairobi Total Universities in Kenya Total Universities in Nairobi

Hotspots in Nairobi Kisumu Employer Hotspot Startups Hotspot University Hotspot Nairobi • Nairobi has ~25 Tech Hubs with • Westlands and Kahawa is the • Westlands is the university ~15 in Westlands. iHub is a tech hotspot for startups in Nairobi hotspot in Nairobi park hosting top tech companies • Kenya ranked 3rd in Africa for • Westlands is the home to the top such as Google, IBM, Facebook having the most number of university “University of Nairobi” and Microsoft Startups in the region in Kenya • Tech hubs are also sprouting up in • iHub based out of Nairobi has • In Kenya ~35% of public sector Kisumu, Eldoret, Voi, Machakos launched more than 170+ Nairobi institutions use cloud services Kahawa and Nyeri startups Kenyatta University Westlands Once Sync Limited Tozzaplus Nokia Barclays Ericsson University of Nairobi Key Insights Oracle • Silicon Savannah in Nairobi, a $1 Bn tech hub is home to more than 200 Startups and for established companies like IBM, Intel and Microsoft Cloud9XP Microsoft. The government has planned to build “Konza Technological City” to accelerate the creation of Startups and support the Huawei Strathmore University innovation in Big Data, Data Science and Internet of Things Technologies Telecom Kenya • Nairobi has a presence of ER&D and IT centres of BBC, IBM, Coca-Cola and The Standard Bank developing digital solutions in cognitive computing, Bigdata and IoT

• Nairobi ranked the most intelligent city in Africa and is a technology epicentre which serves as a regional headquarters for global tech giants such as Google, IBM, BBC and The Standard Bank

• Kisumu is the third largest city in Kenya creating ~10,000 jobs annually and hosting techhub such as Lake Hub 57 Note : DRAUP’s Proprietary Talent Module was used to analyse hotspots by locations and Industry wise 57 Digital and IT Job families: ~56% of the overall tech talent in Kenya is spread across Software Development and digital verticals. While the talent spread in core digital clusters such as AI/ML, Cloud, Security, IoT and Analytics is ~28% of the overall tech talent

Employed talent in Digital and IT Jobs across Job Families

Total Talent across Digital and IT job families: ~110,000

48,000 31,000

16,500

Others 5,500 4,300 900 2,000 1,800 Others include talent in System Integration, IT Software Data Science/ Big Data/ Consulting and Cloud IoT Security UI/UX Development ML/AI Analytics/BI Support

Software Big Data System IoT Design Cyber Security Data Centre Data Scientist Cloud Engineer UI/UX Designer Developer Engineer Engineer Engineer Ops Manager Business Full Stack Cloud Solution Network Security User Experience System Intelligence Data Analyst IoT Engineer Developer Architect Engineer Designer Admin Analyst Mobile Cloud Big Data Desk Support Application ML Engineer Operations IoT Specialist Security Analyst UI Developer Developer Engineer Engineer Engineer Cloud Network Support Web Engineer AI Engineer Infrastructure Big Data Analyst IoT Developer Graphic Designer IT Consultant Engineer Engineer 58 Note: The represented data has been derived using DRAUP Proprietary Talent Database 58 Kenya Technology Talent Distribution: Precisely estimating the talent suited for digital roles, involves several interviews and deeper understanding of technical stacks across resumes and profiles Total Talent across 7 tech job families analysed:

31,000 900 5,500 2,000 1,800 16,500 4,300 Software Data Science/ Big Data/ IoT Cloud Security UI/UX Development ML/AI Analytics/BI Hardware Top Companies

Other Major Players

59 Note: The represented data has been derived using DRAUP Proprietary Talent Database 59 Top Skills: Large proportion of employed talent pool is skilled in Java, SQL, and Linux

HTML 15,000 SQL 15,000 Java 12,500 PHP 9,400 C/C++ 9,000 High

Python 4,600 .NET 3,200 XML 2,600 jQuery 2,600 Ajax 1,500

Django 1,050 Git 1,000 Node.js 960 Ruby 650 Spark 420 Medium Shell Scripting 400 Docker 400 Perl 220 Hadoop 200 Jenkins 200

CentOS 170 Kubernetes 160 Postgres 150 Redux 130 Deep Learning 120 Low

Ansible 120 Puppet 60 Block chain 50 NLP 40 DDoS 30

60 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 60 Top Skills: SQL, Neural Networks and Ruby are the top skills identified across Software Development, AI/ML and Cloud job families respectively

Software Development AI/ML/Data Science Cloud

Neural Deep SQL Java C/C++ XML NLP Ruby Ansible Perl Networks Learning

85 10,400 140 80

9,000 120

6,000 40

50

2,400

SQL Java C/C++ XML Neural Networks Deep Learning NLP Ruby Ansible Perl

61 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 61 Top Skills: Data Visualization, Python, Incident Response and XHTML are the top skills identified across Big Data / Analytics, IoT, Security and UI/UX job families respectively

Big Data/ Analytics IoT Security UI/UX

Data Incident Malware Interaction Hadoop Scala Python Arduino Node.js XHTML CSS Visualization Response Analysis Design

150 150 400 200

140

200 180 50 50 40 50

Data Hadoop Scala Python Arduino Node.js Incident Malware XHTML CSS Interaction Visualization Response Analysis Design

62 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 62 Cost Analysis: High demand for Cloud and Big Data talent is driving the high salary for these Job roles

$32,000 Average Salary

$33,000 $36,000 $37,000 $24,000 $29,000 $35,000

$48,000 $47,000 $46,000 $43,000

$37,000 $38,000 $38,000 $37,000 $34,000 $31,000 $29,000 $26,000 $25,000 $24,000 $24,000

Median Salary (USD) per annum per (USD) Salary Median $22,000 $21,000 $18,000

Entry (0-5) Middle(5-10) Senior (10+)

Software Development Big Data Analytics Cloud UI/UX Security Artificial Intelligence

63 Note: The represented data has been derived using DRAUP’s Talent Simulation Module 63 Kenya: Digital Talent Distribution: ~60% of the Digital and IT talent is employed by the top 4 verticals. Software & Internet vertical has the highest Digital and IT talent employing ~43% of the overall talent. ~600 Digital and IT professionals are employed by the startups

1 Enterprises 2 Startups 43% Total Digital and IT talent across Enterprises : 40% Total Digital and IT Talent ~ 109,400 ~600

7% 6% 4%

Software and Internet Telecommunications BFSI Hospital & Health Care Others Top Employers Top Employers

Digital Divide Data

64 Note: The represented data has been derived using DRAUP Proprietary Talent Database 64 Note: Others include talent from industries like Power & Energy, Aviation etc. Software/Internet Industry Deep Dive: Talent Maturity Analysis – ~53% of the employed digital talent in analysed Job families have 0-5 years of experience

Employed Talent Distribution Across Job Roles and Years of Experience

Enterprise/Startup Talent Employed Talent is (analyzed job roles) ~47,000

~22,000 ~1,000 ~6,500 ~1,500 ~1,500 ~11,000 ~3,500

11% 10% 14% 17% 16% 28% 32% 20% 17% 32% 25% 38%

34% 36%

69% 70% 57% 58% 47% 38% 32%

Software Development AI/ML/Data Science Cloud Big Data/ Analytics IoT Security UI/UX

0-5 Years 5-10 Years 10+ Years

65 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 65 Software/Internet Industry Deep Dive: Software developer Job family constitutes majority of the employed digital talent; Tech Giants have high focus on Software Development and Cloud Services

AI/ML/ Big Data/ Software Data Cloud IoT Security UI/UX Products/Technologies Analytics Science Focus Areas: • Oracle core-to-edge security to protect private and public cloud 200 - 250 8% 4% 63% 4% 8% 5% 8% environment • Cloud based adaptive intelligent application development with Machine Learning technology

Focus Areas: 150 - 200 35% 10% 35% 0% 5% 5% 10% • MS Azure development • Facial Recognition technology in AI application • Internet of Things

Focus Areas: 100 - 150 33% 0% 33% 0% 8% 9% 17% • Business Intelligence & Analytics • Cloud Application Development

Focus Areas: 75 - 100 • Human and machine intelligence for audio and video 36% 7% 36% 0% 14% 0% 7% transcription

Digital Divide Data Focus Areas: 50 - 75 38% 0% 37% 0% 0% 25% 0% • Cloud Computing and AWS Cloud Managed Services • AWS Migration Services for enterprise applications

0% 0-25% 25%-50% 50-100%

66 Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type 66 Telecommunications Industry Deep Dive: Talent Maturity Analysis - ~45% of the employed digital talent in analysed Job families have 0-5 years of experience

Employed Talent Distribution Across Job Roles and Years of Experience

Enterprise/Startup Talent Employed Talent is (analyzed job roles) ~4,250

~2,350 ~50 ~800 ~100 ~250 ~500 ~200

11% 20% 25% 22% 37% 39% 44% 22% 25%

35% 38% 20%

33% 32% 67% 75%

40% 43% 33% 28% 24%

Software Development AI/ML/Data Science Cloud Big Data/Analytics IoT Security UI/UX 0-5 Years 5-10 Years 10+ Years

67 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 67 Telecommunications Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top employers have high focus on Cloud, Security, Bigdata/Analytics and IOT

Software AI/ML/Data Big Data/ Cloud IOT Security UI/UX Products/Technologies Development Science Analytics

Focus Areas: • Cloud backup for Data Center 1% 15% 3% 6% 8% 5% 1500 -1700 62% • Zuri AI Chatbot for Safaricom mobile data users • Narrowband IoT (NB-IoT) technology

Focus Areas: • 4G/LTE Access Network – Mobile Services 150-200 56% 0% 17% 6% 0% 15% 6% • Fibre-to-the-Building(FTTB) • Cloud and Hosting Services

Focus Areas: 100-150 50% 0% 21% 0% 7% 15% 7% • Cloud Infrastructure Services • 5G Services

100-150 35% 0% 25% 10% 17% 8% 5% Focus Areas: • Cloud native network application for 5G and VOLTE service • IoT for M2M Services

Focus Areas: 50-100 50% 0% 20% 10% 10% 10% 0% • Establishment of AI 5G lab using AI • Data Science and Analytics • Airframe Cloud infrastructure – Wi-Fi Services 0% 0-25% 25%-50% 50-100%

68 Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type 68 BFSI Industry Deep Dive: Talent Maturity Analysis – ~42% of the employed digital talent in analysed Job families have 0-5 years of experience

Employed Talent Distribution Across Job Roles and Years of Experience

Enterprise/Startup Talent Employed Talent is (analyzed job roles) ~2,700

~1,000 ~100 ~400 ~400 ~100 ~400 ~300

14% 21% 25% 33% 30% 40% 38%

29%

38% 33% 30%

37% 38%

67% 57%

41% 40% 42%

23% 24%

Software Development AI/ML/Data Science Cloud Big Data/ Analytics IoT Security UI/UX

0-5 Years 5-10 Years 10+ Years

69 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 69 BFSI Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on Security, UI/UX and Cloud

Software AI/ML/Data Big Data/ Cloud IOT Security UI/UX Products/Technologies Development Science Analytics

Focus Areas: 300 -350 62% 0% 12% 0% 3% 12% 12% • Chatbot application for customer engagement • Big Data and Analytics for predicting customer behavior

Focus Areas: • AI for evaluating loan applications 300-350 64% 4% 7% 7% 4% 10% 4% • Big Data for customer analytics • CyberSecurity initiatives to reduce vulnerabilities and breaches

Focus Areas: 100-150 • 75% 0% 0% 0% 0% 13% 12% Cyber Security • Analytics for Financial transactions and Payment records

Focus Areas: 100-150 38% 0% 13% 0% 0% 36% 13% • Big Data and Analytics for financial data handling • Application Development for m-Payment

Focus Areas: 50-100 50% 0% 0% 0% 0% 50% 0% • Develop Eazzy Banking digital platform for online banking • Big Data and Analytics for customer targeting

0% 0-25% 25-50% 50-100%

70 Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type 70 HealthCare Industry Deep Dive: Talent Maturity Analysis – Over 50% of the employed digital talent in analysed Job families have 0-5 years of experience

Employed Talent Distribution Across Job Roles and Years of Experience

Enterprise/Startup Talent Employed Talent is (analyzed job roles) ~1,025

~500 ~25 ~50 ~100 ~200 ~100 ~50

18% 25% 25% 29% 31% 40% 50%

33% 25% 29% 25% 20%

75%

50% 50% 50% 44% 40% 43%

Software Development AI/ML/Data Science Cloud Big Data/ Analytics IoT Security UI/UX

0-5 Years 5-10 Years 10+ Years

71 Note: The represented data has been analysed using DRAUP Proprietary Talent Database 71 HealthCare Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on IoT and Security services

AI/ML/ Software Big Data/ Data Cloud IoT Security UI/UX Products/Technologies Development Analytics Science

Focus Areas: • Image guided & robot assisted surgeries 100 - 150 20% 0% 40% 0% 20% 20% 0%

Focus Areas: 50% 0% • Cloud adoption in medical records 50-100 25% 0% 25% 0% 0%

Ministry Of Healthcare, Focus Areas: Kenya 0% 33% • mHealth application: Digital patient records 40- 60 34% 0% 0% 33% 0%

Focus Areas: 50% 0% 50% 0% • Smart sensors for remote patient and device monitoring 30 -50 0% 0% 0%

0% 0-25% 25%-50%

72 Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type 72 Kenya Startup Overview: Kenya is home to Fintech startups with a high focus on development Blockchain and Crypto-currency. It is also home to ~250 Startups

Startup Overview

~250 ~10 ~12 ~147 Mn • Kenya is the biggest tech hub in Africa and is has startups in Total number of Startups in Total number of Total funding received in Total Hubs payments, logistics, block chain, e-commerce, insure-tech and Nigeria Accelerators 2017 tourism employing a significant technology talent

• ~40% of the blockchain companies received seed funding from Major Startup Energy/ FinTech Healthcare E-Commerce Edtech Travel Logistics Agritech local and international investors in the last year Verticals Power • Kenya received the highest investments for Startup in first half of Bubble size indicates the intensity of Startups 2018. 5 of the top 10 funded companies during this period is Top Funded Startups headquarted in Kenya Company Headcount Funding Workload • Cellulant, a Fintech startup that received the highest investment of $47.5 Mn in 2018 in Kenya TALA is a financial technology company that develops a ~100 $109.4M mobile lending application offering personalized and real-time credit scores Tala Key Startup Acquisitions

Cellulant is a mobile commerce platform that offers ~200 $54.5M payment processing, reconciliation and digital banking • Financial Technology Startup Weza Tele was acquired by financial services giant, AFB for $1.7 Mn Cellulant solutions for retailers and businesses • UK-based Maximeyes Group acquired Kenyan data collection Africa’s Talking integrates reliable two-way SMS, voice, Startup Bamba Group ~100 $8.5M and USSD functionality across network service providers Africa’s and offer customized mobile messaging solutions Talking 73 Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type 73 University Ecosystem: Kenya has ~47 universities with ~0.18 Mn graduates. More than 50% of the graduates has adopted STEM related courses

University Overview Course Adoption Rate Key Takeaways

 Kenya Industrial Property Institute partnered with Kenyatta University to establish the Technology and Innovation Support Centre to enhance access to services such as patent 53% searches, patent drafting. 47% ~181,300 ~93,300 ~47 Total Graduates  Gross enrolment ratio in tertiary education for Kenya is 11.6 %. Male Graduates Universities In ~166,800 ~14,500 Kenya ~87,300  The most marketable courses in Kenya fall in two fields Science, Technology, UG PG Female Graduates STEM (Science, Linguistics and Engineering and Mathematics (STEM) and Business. Technology, Engineering Management and Math) UNIVERSITY DISTRIBUTION TOP HIRING COMPANIES COST PER HIRING $10,500 Intensity of University HIGH LOW Lodwar $ 12,000 $ 9,000

COMPUTER SOFTWARE AI/ML/DATA BIG UNIVERSITY CLOUD CYBERSECURITY IOT UI/UX GRADUATES DEVELOPMENT SCIENCE DATA/ANALYTICS Eldoret Kenya Curriculum Maturity Bond Kisumu Kenyatta University ~450-550 MEDIUM MEDIUM LOW LOW Meru Garissa o Nakuru Kericho Chuka Jomo Kenyatta Karatina Thika University Of HIGH MEDIUM LOW ~900-1100 HIGH LOW LOW Agriculture Nairobi Machakos &Technology Number of Courses University of Nairobi ~900-1100 MEDIUM LOW LOW LOW Strathmore Kilifi ~350-450 LOW LOW Taita Taveta University HIGH MEDIUM LOW United States Mombasa International ~350-450 MEDIUM LOW LOW LOW University Africa 74 Note : DRAUP’s Talent Module analysed universities in Kenya and nearby locations to identify top universities and key courses 74 University Deep Dive: Kenyatta University

Kenyatta University COURSES OFFERED TOP HIRING COMPANIES KEY ALUMNI http://www.ku.ac.ke/ Nick Sabwa • B.Sc. Computer Science C.T.O at COHESU • MSc. Computer Science Enrolments: ~80,000 • Diploma in Information Technology Ananda Jermin Under-Graduate Post-Graduate Head Of Technology at Advanta Africa Ltd ~73,600 ~6,400 KEY TOPICS Graduates: ~24,000 KEY STARTUPS BORN Edgar Mwangi Under-Graduate Post-Graduate • Natural Language Processing Lead Consultant (Cyber Security) • Neural Networks at Revere Technologies Limited ~22,100 ~1,900 • Robotics • Data Warehouse and Data Mining Academic Programmes : ~136 • Computer Systems Security Angelina Ndung'u • Human Computer Interface ICT & Business Strategy Lead at Computer Related Programmes: ~4 • AI Eighty Leverage Limited

COST PER HIRING Kipkirui Ronald Full Time Professors : ~1062 Software Security & Support Lead at Cyberschool Technology Computer Science Professors: ~20 Solution

David Kimungui AWARDS HIGH LOW $13,100 Technical Lead - Infrastructure • Kenyatta University won the Daily Trust African of the Year Award for anti-FGM app $ 13,600 $ 12,600 Manager at Reelforge Media Intelligence

75 Note : The above information is based on data provided by Kenyatta University and DRAUP Proprietary Database 75 University Deep Dive: JKUAT

JKUAT COURSES OFFERED TOP HIRING COMPANIES KEY ALUMNI http://www.jkuat.ac.ke/ Gachoka M • B.Sc. Computer Science Senior Network and Security • M.Sc. Computer Science Engineer at Konvergenz Enrolments: ~42,000 • Ph.D. Computer Science Network Solutions Under-Graduate Post-Graduate Daniel Gathigai Co-Founder and CTO at ~38,600 ~3,400 KEY TOPICS Tambua Health Graduates: ~12,600 Sila Steven Under-Graduate Post-Graduate KEY STARTUPS BORN • Systems Programming Chief Technical Officer at • AI Microsil Systems ~11,600 ~1,000 • Neural Networks • Structural Programming Charles Mutinda Academic Programmes : ~127 • Cryptography And Network AngeLin Head of Information Security Technology and Security at Computer Related Programmes: ~8 • Cryptography and Computer Apps On Point Limited Security COST PER HIRING John Mathenge Full Time Professors : ~600 Group Head of IT at Java Computer Science Professors: ~36 House Africa

AWARDS Eddah M HIGH $11,800 LOW Head of ICT at The Standard • $ 12,600 Bayer Innovation Award $ 11,000 Group LTD

76 Note : The above information is based on data provided by JKUAT and DRAUP Proprietary Database 76 University Deep Dive: University Of Nairobi

University of Nairobi COURSES OFFERED TOP HIRING COMPANIES KEY ALUMNI http://www.uonbi.ac.ke/ Paul Mutinda • B.Sc. Computer Science Lead Consultant- Cyber Security at Cyber Roam Africa • M.Sc. Applied Science Technologies LTD Enrolments: ~79,000 • Ph.D. Computer Science Bernard Rono Under-Graduate Post-Graduate Head of ICT at Kenya Tea ~72,700 ~6,300 KEY TOPICS Packers Limited Graduates: ~ 23,700 Sylvester Mutuli Under-Graduate Post-Graduate KEY STARTUPS BORN • Web Programming And Chief Technical Officer at Applications Network Four Limited ~21,800 ~1,900 • AI Programming • Machine Learning Academic Programmes : ~72 • Computer Network Security Kennedy Aseda Lead Network Operations & Computer Related Programmes: ~7 Security Engineer at KENET

COST PER HIRING Douglas Kuritto Kisio Full Time Professors : ~1500 Technical Lead at Vulkan Solution Services ltd Computer Science Professors: ~26

AWARDS Isaiah Kibet HIGH $13,100 LOW NA Senior Technical Analyst at $ 13,600 $ 12,600 Network International

77 Note : The above information is based on data provided by University Of Nairobi and DRAUP Proprietary Database 77 University Deep Dive: Strathmore University

Strathmore COURSES OFFERED TOP HIRING COMPANIES KEY ALUMNI University John Muthurimi • B.Sc. Computer Science Team Lead - Mobile Application www.strathmore.edu • M.Sc. Information Systems (MSc CIS) Development at Software Group Enrolments: ~18,100 • M.Sc. IT Under-Graduate Post-Graduate Philip Mudenyo Lead Software Developer at ~16,700 ~1,400 KEY TOPICS Legitimate Technology Graduates: ~ 5,430 KEY STARTUPS BORN Kagonya Awori Under-Graduate Post-Graduate • Computer Vision Human Experience and Design • Intelligent Systems Lead at Safaricom Alpha ~5,000 ~430 • Deep Technical Programming

Academic Programmes : ~35 Judy Ngure ShambaIntel Africa WeShape Digit Senior QA Engineer at WPP- Computer Related Programmes: ~4 Limited Scangroup

COST PER HIRING Hartnell Ndungi Full Time Professors : ~181 Chief Data Officer at Absa Group Computer Science Professors: ~18

AWARDS HIGH LOW Cynthia K $11,200 Information Security Leader - • Awarded Financial Reporting (FiRe) award for promoting integrated reports $ 10,800 $ 11,600 Sub Saharan Africa at GE • Academy of Business in Society (ABIS) 2017 Global Sustainability Award for the project “Sustainability Strategy Agenda” 78 Note : The above information is based on data provided by Strathmore University and DRAUP Proprietary Database 78 University Deep Dive: U.S.I.U

U.S.I.U COURSES OFFERED TOP HIRING COMPANIES KEY ALUMNI www.usiu.ac.ke Joan Ambutu • B.Sc. Applied Computer Technology Head of IT - East Africa at • M.Sc. IST Unilever Enrolments: ~8,500 Under-Graduate Post-Graduate Tom Mboya Opiyo Head of ICT/CIO at Unga Group ~7,800 ~700 KEY TOPICS Ltd Graduates: ~2,550 KEY STARTUPS BORN Joackim Apondo Under-Graduate Post-Graduate • Human Computer Interaction Sn Integrationr. ICT Officer- • Information System Security Systems & Data Systems Lead ~2,350 ~200 • Computer Forensics and at KALRO Investigation Academic Programmes : ~23 • Object Oriented Design and Emmanuel Chebukati Programming hand2cloud Head of Infrastructure and Computer Related Programmes: ~3 • Mobile Programming Security at Hepta Analytics • Cryptography and Network Security COST PER HIRING Ruphin Byamungu Full Time Professors : ~140 Chief Information Officer at Kivuhub Computer Science Professors: ~19

AWARDS HIGH LOW Naom Kerubo $9,000 Data Analytics Lead at NA $ 8,000 $ 10,000 Crescentech Ltd

79 Note : The above information is based on data provided by USIU and DRAUP Proprietary Database 79 Key Professor Profiles (1/6)

Bernard Shibwabo Joseph Orero Strathmore University Strathmore University NA NA NA Lecturer NA NA NA Student Population: 15100 Senior Lecturer Student Population: 15100 Full Time Professors: 180 Full Time Professors: 180 Email: NA H-index Citations Publication Email: NA H-index Citations Publication Phone: 0703-034000 www.strathmore.edu Phone: 0703-034000 www.strathmore.edu

Research Goals Research Goals Research Focus: Research Focus: • Intelligent Systems and Machine Learning, Fuzzy Logic and their • NA  Databases and Business  Data Mining application in Affective Computing  Pattern Mining Intelligence  Trend Prediction  Data Science Education  Image processing Education Affiliations: Affiliations: B.Sc. Computer Science B.Sc. Business Information Technology • Katholieke Universiteit • University of Paris M.Sc. Information Technology Management M.Sc. Information Technology Leuven Ph.D. Computer Science Ph.D. • University of Tubingen

Nicodemus Maingi Daniel Machanje Strathmore University Strathmore University NA NA NA NA NA NA Lecturer Student Population: 15100 Lecturer Student Population: 15100 Full Time Professors: 180 Full Time Professors: 180 Email: NA H-index Citations Publication Email: NA www.strathmore.edu H-index Citations Publication www.strathmore.edu Phone: 0703-034000 Phone: 0703-034000

Research Goals Research Goals Research Focus: • Develop Software applications for various divisions, departments Research Focus: • NA  Database Systems and units within the Ministry of Health  Mobile Application Programming  Big Data and Analytics  Networking  Health Informatics Education Education Affiliations: Affiliations: B.Sc. Applied Math and Statistics B.Sc. Computer Science NA M.Sc. Information Systems • University of Paris M.Sc. Mobile Telecommunications and Innovation

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 80 Source : The above information is based on data provided by Strathmore University 80 Key Professor Profiles (2/6)

Steve Kayugira Conrad Ojiambo Strathmore University Strathmore University NA NA NA Assistant Lecturer NA NA NA Student Population: 15100 Lecturer Student Population: 15100 Full Time Professors: 180 Full Time Professors: 180 Email: NA H-index Citations Publication Email: NA H-index Citations Publication Phone: 0703-034000 www.strathmore.edu Phone: 0703-034000 www.strathmore.edu

Research Goals Research Goals Research Focus: Research Focus: • NA • NA  Databases/ Data Mining  Cloud Computing  Management of Information  Big Data Computing Technology  Mobile Computing  Big Data Education  Internet Of Things Education Affiliations: Affiliations: M.Sc. Information Technology M.Sc. Information Technology NA • Katholieke Universiteit Leuven • University of Tubingen

Wagacha Peter William Okelo- University of Nairobi University of Nairobi Waiganjo 12 479 NA odongo NA NA NA Professor Student Population: 79000 Professor Student Population: 79000 Full Time Professors: 2,692 Full Time Professors: 2,692 Email: H-index Citations Publication Email: www.uonbi.ac.ke H-index Citations Publication www.uonbi.ac.ke [email protected] [email protected] Phone: 4447870 Phone: 254-733-805246 Research Goals Research Goals Research Focus: • NA. Research Focus: • NA  Machine learning  Distributed Computing  Data Mining  Architectures and Technologies  AI  Computer Network Security Education  Cyber-Physical Systems Education Affiliations: Affiliations: B.Sc. (Hons) Physics B.Sc. Mathematics • University of Antwerp M.Sc. Computer Science & Applications • Technical University of M.Sc. Electrical Engineering • University of the Western Ph.D. Computer Science Kenya Cape Ph.D. Computer Science

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 81 Source : The above information is based on data provided by Strathmore University and University of Nairobi 81 Key Professor Profiles (3/6)

Abade Elisha Odira Eng Lawrence University of Nairobi University of Nairobi NA NA ~6 Muchemi 4 41 ~15 Student Population: 79000 Lecturer Student Population: 79000 Lecturer Full Time Professors: 2,692 Full Time Professors: 2,692 H-index Citations Publication Email: H-index Citations Publication Email: www.uonbi.ac.ke www.uonbi.ac.ke [email protected] [email protected] Phone: 254 722 234738 Phone: NA Research Goals Research Goals Research Focus: Research Focus: • Design and develop models and associated algorithms • NA  AI  Wireless Communication Systems; Mobile & Ubiquitous  Natural Language processing Computing Education  Machine Learning Education Affiliations: Affiliations: B.Tech.(Honors) Engineering B.Sc. Computer Science NA NA M.Phil. Engineering M.E. Electrical Engineering and Computer Science Ph.D. Computer Science Program Ph.D. Computational Science and Engineering

Opiyo Elisha T Omulo Miriti Evans A K University of Nairobi University of Nairobi 3 33 ~78 3 29 ~6 Senior Lecturer Student Population: 79000 Lecturer Student Population: 79000 Full Time Professors: 2,692 Full Time Professors: 2,692 Email: [email protected] H-index Citations Publication Email: www.uonbi.ac.ke H-index Citations Publication www.uonbi.ac.ke Phone: 722601224 [email protected] Phone: 0721-582774 Research Goals Research Goals Research Focus: • Develop applications of multi-agent systems using cloud Research Focus: • NA  Cloud Computing computing and AI for health and education  AI  AI  Machine Learning  Data Structures and Algorithms  Web Programming  Distributed Systems Education Education Affiliations: Affiliations: Bachelor of Education (Science) B.Sc. Computer Science NA M.Phil.(Computer Science) NA M.Sc. Applied Computer Science Ph.D. Computer Science Ph.D. Computer Science

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 82 Source : The above information is based on data provided by University of Nairobi 82 Key Professor Profiles (4/6)

Walia Rasna Rani Ruhiu Samuel N University of Nairobi University of Nairobi 1 2 ~4 7 274 ~2 Student Population: 79000 Lecturer Student Population: 79000 Lecturer Full Time Professors: 2,692 Full Time Professors: 2,692 Email: H-index Citations Publication Email: H-index Citations Publication www.uonbi.ac.ke www.uonbi.ac.ke [email protected] [email protected] Phone: 254-20-4444919 Phone: 254-20-4444919 Research Goals Research Goals Research Focus: Research Focus: • NA • NA  User Experience Design  Bioinformatics  Human Computer Interaction  Machine Learning  Systems Analysis and Design Education Education Affiliations: Affiliations: M.Sc. Computation graduate B.Sc. Computer Science NA NA Ph.D. Information Systems M.Sc. Intelligent Systems

Dancan Kibui Michael Muia Kenyatta University Kenyatta University NA NA NA Munyao NA NA NA Assistant Lecturer Student Population: 20700 Assistant Lecturer Student Population: 20700 Full Time Professors: 207 Full Time Professors: 207 Email: H-index Citations Publication Email: munyao.michael@ H-index Citations www.ku.ac.ke Publication www.ku.ac.ke [email protected] ku.ac.ke Phone: 43844-00100 Phone: 51638, 00200 Research Goals Research Goals Research Focus: • NA Research Focus: • NA  Micro-Processing Systems  Big Data Analytics  Distributed Systems  Business Intelligence Systems  AI  Informatics  Robotics Education  Data Mining Education Affiliations: Affiliations: B.Sc. Information Science and Computer Engineering B.Ed. Science NA M.Sc. Information Science and Computer Engineering NA M.Sc. Information Systems Engineering

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 83 Source : The above information is based on data provided by University of Nairobi and Kenyatta University 83 Key Professor Profiles (5/6)

Christopher Kiama Emma Cheserem Kenyatta University Kenyatta University NA NA NA NA NA NA Student Population: 20700 Lecturer Student Population: 20700 Assistant Lecturer Full Time Professors: 207 Full Time Professors: 207 Email: NA H-index Citations Publication Email:kiama.christopher H-index Citations Publication www.ku.ac.ke www.ku.ac.ke Phone: 43844 – 00100 @ku.ac.ke Phone: 43844 00100 Research Goals Research Goals Research Focus: Research Focus: • NA • NA  Machine learning  Big Data Analytics  Intelligent systems  Distributed Systems  Data mining  Programming and Application Education Development Education Affiliations: Affiliations: BSc. Computer Science B.Sc. Information Technology NA NA MSc. Management Information Systems M.Sc. Computer Science

Bernard Ondara Kipruto, W. Cheruiyot Kenyatta University Kenyatta University Of NA NA NA 6 159 NA Assistant Lecturer Student Population: 20700 Associate proffessor Agriculture & Technology Full Time Professors: 207 (JKUAT) Email: H-index Citations Publication Email: NA www.ku.ac.ke H-index Citations Publication Student Population: 42900 [email protected] Phone: NA Phone: 43844 00100 Full Time Professors: 105 www.up.ac.za Research Goals Research Goals Research Focus: • NA Research Focus: • NA  Big Data Analytics  Multimedia Data Retrieval  Intelligent Agents & Distributed  Internet of Things Systems  Evolutionary Computation for  E-Monitoring& Evaluation Education Optimization Education Affiliations: Affiliations: B.Sc. Information Technology NA NA M.Sc. Computer Science NA

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 84 Source : The above information is based on data provided by Kenyatta University 84 Key Professor Profiles (6/6)

U.S.I.U(United States Leah Mutanu Mwaura U.S.I.U(United States Paula Musuva-Kigen International University 1 2 NA International University NA NA NA Africa) Lecturer Africa) Lecturer Student Population: 8425 Email: NA H-index Citations Publication Student Population: 8425 Email: NA H-index Citations Publication Full Time Professors: 140 Phone: NA Full Time Professors: 140 Phone: NA www.ku.ac.ke www.ku.ac.ke Research Goals Research Goals Research Focus: Research Focus: • NA • Cyber-Security Researcher at the Centre for Informatics Research  Cyber-Security  Software Engineering and Innovation (CIRI)  Cyber Crime  Cloud Computing  Information Security Education  Forensics Education Affiliations: Affiliations: B.Ed. Mathematics and Physics. B.Sc. Computer Science NA NA M.Sc. Managing Information Systems M.Sc. Network Systems

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives 85 Source : The above information is based on data provided by U.S.I.U 85 Kenyan Training Institute Profile: Few training institutions in Kenya offers courses and certifications such as Python, Data Mining, Robotics, etc. developing digital talent in areas such as Data Science & Analytics, AI and Cybersecurity

Courses Sponsors/Partnership Key Trainers

• Network services and Monitoring • NA Mercy Njue Jane Nteere • Introduction to Network Operations: UNIX/LINUX & Founder at BotLab Administrator, Africa DNS Kenya Nazarene University • Python Prep • Algorithms and Modeling Kendi Muchungi Waiganjo Wagacha • Introduction to Data Science using Python Co-founder Nikola Professor, University Energy of Nairobi • Android Application Programming • NA • Web Application Programming • Data Mining • Ethical Hacking And Cyber Security • Robotics And AI • Business Management Software • Api Engineering • R Basics (Sprint) • NA Kamande Wambui • Cleaning Data in R (Sprint) Data Science Lead • Exploratory Data Analysis(Sprint) • Supervised Learning (Deep dive)

• Data Science & Analytics • NA • NA • Web, Mobile & Software Development(Ajax, Html 5, Java, XHTML, Android, Software Testing, Word Press) • IT & Networking • Design & Creative

86 Source : The above information is based on data provided by Botlab, TechCamp, Moringa, Ajiira and curated by DRAUP 86 87

Source : DRAUP 87