Kevin K. Le [email protected] | linkedin.com/in/le-kevin

Education University of California, Berkeley 08/17- 05/21 B.S. Electrical Engineering and Computer Science Relevant Coursework: CS 61B Data Structures CS 170 Algorithms and Intractable Problems ​ (including current) CS 161 Computer Security CS 61C Machine Structures ​ Stat 134 Concepts of Probability EECS 127 Optimization Models in Engineering Stat 135 Concepts of Statistics EE 16A/B Lin Alg. and Diff. Eq Equivalent

Technical Experience Amazon-- Software Development Intern 5/19 - 8/19 ​ ​ ​ ​ ➢ Implemented second most popular payment method in Japan, Mobile Carrier Billing, using Kotlin, Groovy, Guice, and Bango (payment processor). ➢ Impacted all 8.2 million payment instances for Amazon in Japan and processes on average ~250 requests/minute. ➢ Enabled team to save months of time when rotating credentials and created easier access to logs for oncall. ➢ Implemented comprehensive unit/integration tests and metrics. Piedmont Analytics-- Founder, Data Science Consultant, PM 10/18 - 4/19 ​ ​ ​ ​ ➢ Built the entire data extraction pipeline using bash scripts, python pandas and related packages, to process and generates a concise report of requested information for Flo AI, saving them from hundreds of hours of using excel to manually produce information from traffic sensor data. ➢ Automate identification and cleaning of incorrect data entries in 1.8 TB dataset of traffic sensor measurements for Flo AI using python pandas and a smaller subset of the data. ➢ Manage a team of five to effectively identify and fulfill data service needs of clients. Kyocera-- Data Science Consultant 09/18 - 11/18 ​ ​ ​ ​ ➢ Optimize and supplement business strategies/intelligence through Machine Learning and Natural Language Processing on printer sensor data. ➢ Applied clustering algorithms such as Means Shift Clustering, K Means, Mixture Model, Hierarchical Clustering to cluster printer usages through tools such as Pandas and Scikit-learn. ➢ Used these clusters to determine classifications upon which to build business strategies and intelligence. Black Knight-- Data Analytics and Software Development Intern 05/18 - 08/18 ​ ​ ​ ​ ➢ Started to develop an artificial neural net to predict future housing prices using Black Knight Data, zeppelin, python, hive, SQL, , and scikit learn. ➢ Ensured stable UI deployments through integration tests that simulate front end inputs using JUnit and Selenium. ➢ Integrated the tests to automatically run when deployed using jenkins, maven, and shell scripts. ➢ Developed and configured a penetration test remediation solution through the creation of a restricted bash shell and chroot jail for the zeppelin service user from HDP. ➢ Contributed another penetration testing solution of containerizing the ambari service and zeppelin. ➢ Solved backend bugs for the delete method of the REST API through Solr, postman, and . EE16B Audio Powered Car 02/18 - 05/18 ➢ Created a closed loop feedback system so that motors constantly adjust for precise movements including turns. ➢ Classified frequency responses to words that trigger car movement using PCA classification and K-Means clustering.

Technical Skills Advanced: Java, Kotlin, Groovy, Python, R, Linux/Bash Proficient: SQL, C Learning: Javascript, HTML ​ ​ ​ ​ ​ ​ ​ Software Tools: Google Guice, Mockito, Hortonworks Data Platform (Hadoop, Spark, Hive, etc.) ​ ​ Flask, ExpressJS, NodeJS, Postgres, AWS R Packages (dyplr, ggplot, etc), Pandas, Scikit

Campus Organizations Berkeley Data Science Society -- Analytics Committee 09/18 - 05/19 ​ ​ ➢ Develop and train models to work on and consult on problems and tasks provided by industry. ➢ Past Projects: Kyocera (Mentioned Above), Edify AI