Arpit Narechania ½ 131 Ponce De Leon Avenue NE, Apt 310, Atlanta, Georgia 30308, U.S.A. Ó (470) 601-3731 j R [email protected] j cc.gatech.edu/∼anarechania3 ¯ /in/narechania j Ƅ k1S8Sc4AAAAJ j arpitnarechania j 7 arpitnarechania j arpit.narechania Education Georgia Institute of Technology Atlanta, USA Ph.D. in Computer Science. Advisor: Alex Endert. GPA: 3.88/4 2019 – present Georgia Institute of Technology Atlanta, USA M.S. in Computational Science and Engineering. GPA: 3.88/4 2018 – present Indian Institute of Science (IISc) Bengaluru, India Proficiency Certificates in Data Mining, Data Analytics 2017 RWTH Aachen University Aachen, Germany Study Abroad Program, Mechanical Engineering. GPA: 9.16/10 (scaled) 2014 Indian Institute of Technology (IIT) Mandi Mandi, India B.Tech in Mechanical Engineering, Minor: Device Materials. CGPA: 8.23/10 2011 – 15 Patents Natural Language Query Processing and Debugging Filed in 2021 Inventors: Arpit Narechania, Adam Fourney, Bongshin Lee, Gonzalo Ramos Microsoft Research, Redmond, WA Publications * - equal contribution Arpit Narechania, Adam Coscia, Emily Wall, and Alex Endert. Lumos: Increasing Awareness of Analytic Focus during Visual Data Analysis. IEEE Transactions on Visualization and Computer Graphics, 2021 Emily Wall*, Arpit Narechania*, Adam Coscia, Jamal Paden, and Alex Endert. Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases. IEEE Transactions on Visualization and Computer Graphics, 2021 Arpit Narechania, Alireza Karduni, Ryan Wesslen, and Emily Wall. VitaLITy: Promoting Serendipitous Discovery of Academic Literature with Transformers & Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 2021 Arthita Ghosh*, Deven Bansod*, Arpit Narechania, Prashanth Dintyala, Su Timurturkan, and Joy Arulraj. Interactive Demonstration of SQLCheck. In Proceedings of PVLDB 2021, 2021 Arpit Narechania, Alireza Karduni, Ryan Wesslen, and Emily Wall. VitaLITy: A Dataset of Academic Articles. figshare, 2021 Arpit Narechania, Adam Fourney, Bongshin Lee, and Gonzalo Ramos. DIY: Assessing the Correctness of Natural Language to SQL Systems. ACM Transactions on Interactive Intelligent Systems, 2021 Arpit Narechania*, Arjun Srinivasan*, and John Stasko. NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries. IEEE Transactions on Visualization and Computer Graphics, 2020 Website: nl4dv.github.io/nl4dv Arpit Narechania, Ahsan Qamar, and Alex Endert. SafetyLens: Visual Data Analysis of Functional Safety of Vehicles. IEEE Transactions on Visualization and Computer Graphics, 2020 Prashanth Dintyala*, Arpit Narechania*, and Joy Arulraj. SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns. In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, pages 2331–2345, 2020 Website: db-apps.cc.gatech.edu/sqlcheck Rahul C Basole, Ahsan Qamar, Biswajyoti Pal, Michael Corral, Matthew Meinhart, and Arpit Narechania. Understanding Failure Mode Effect Analysis Data Using Interactive Visual Analytics. IEEE Computer Graphics and Applications, 39(6):17–26, 2019 Arpit Narechania. KisanVikas-Android Based ICT Solution in Indian Agriculture to Assist Farmers. In Proceedings of the 7th International Conference on Information and Communication Technologies in Agriculture, Food and Environment., volume 1498, pages 226–237. CEUR-WS.org, 2015 Professional Experience Georgia Tech and Ford Motor Company Aug. 2018 – present Graduate Research Assistant (Mentors: Ahsan Qamar, Alex Endert) Atlanta, GA • Develop visual analytics tools that assist automotive systems engineers to make better sense of automotive datasets. Adobe Research May. – Aug. 2021 Research Intern (Mentor: Fan Du, Atanu Sinha) Atlanta, GA [Remote] • Developed a novel technique to accelerate knowledge discovery during data preparation workflows. Microsoft Research May. – Aug. 2020 Research Intern (Mentors: Adam Fourney, Gonzalo Ramos, Bongshin Lee) Atlanta, GA [Remote] • Developed a new technique to help users inspect for, isolate, and correct errors in Human-AI (NL2SQL) conversation scenarios. Rave Analytics LLC Apr. 2017 – Aug. 2018 Full Stack Engineer (Mentor: Zubin Dowlaty, Subir Mansukhani) Bengaluru, India • Developed pairtrading.dev, an advanced trading platform for the U.S. stock market. Intuition.AI Jun. – Aug. 2018 Software Engineer (Mentor: Madhavan Thirumalai) Bengaluru, India • Consulted a U.S. based cryptocurrency client in setting up their data engineering pipelines on AWS. Khosla Labs (now Veri5Digital) Jul. 2015 – Jun. 2018 Full Stack Data Scientist (Mentors: Subir Mansukhani, Srikanth Nadhamuni) Bengaluru, India • Workbench.AI: Worked on a general-purpose machine learning workbench that aimed to foster citizen data scientists. Our clients leveraged this tool in fraud detection and credit rating applications. • Tracker.AI: Built a real-time AI-powered sales force tracking and beat management system. • Expense Tracker: Built a real-time NLP-based expense tracker using SMSes. • DataJuno: Built a real-time analytics platform to process and visualize data associated with users of the system. Khosla Labs & Telecom Regulatory Authority of India (TRAI) Jul. 2017 – Jan. 2018 Software Engineer (Mentor: Subir Mansukhani) Bengaluru, India • Developed a spam classifier module for TRAI’s Android app that flags messages (SMS) from fraudulent telemarketers. eGovernments Foundation & Government of Andhra Pradesh 2015 – 16 Software Engineer Volunteer (Mentors: Manu Srivastava, Krishnakumar Thiagarajan) Hyderabad, India • Developed a monitoring dashboard for 120 Urban Local Bodies (ULBs) for better digital governance • Then Chief Minister, Shri Chandrababu Naidu personally appreciated and awarded it a state best 3-star rating. Mercedes Benz Research and Development India Dec. 2013 – Feb. 2014 Student Intern (Mentors: Praveen Bhat, Partha Bhattacharya) Bengaluru, India • Developed the maps and navigation module into Smart Drive 3, the Android app for Daimler’s SMART car. Projects VIS Lab Website j Jekyll, Markdown, HTML, CSS, JS Fall 2020 – Spring 2021 • Led the re-design and development of the Georgia Tech Visualization Lab homepage. Website: vis.gatech.edu Lumovia j ARCore, Wikitude, Unity, Python, AngularJS, SocketIO, Flask 2018 – 19 • Developed an app for students (and teachers) to learn (and teach) Physics using Augmented Reality (AR) and 5G. • Winner, $100k: Verizon 5G EdTech Challenge, 2019. House Hunting, made smart! j R, Python, ArcGIS Spring 2019 • Developed a tool that assists people hunt for their dream home using Spatial analysis and ML techniques. • Class: CP-6521 Advanced GIS. Instructor: Yongsung Lee. Poster: House Hunting Incredible India j ArcGIS Spring 2019 • Developed an ArcGIS StoryMap on the history and cultural and geographic diversity of India. • Class: CP-6514 Introduction to GIS. Instructor: G.W. Tabopda. Story Map: arcg.is/1SeS0D G.O.A.T.: Who is the Greatest F1 Player of All Time? j D3.js, AngularJS, Python Fall 2018 • Developed a visualization tool to explore the rich Formula 1 history and determine the greatest driver of all time. • Class: CS-7450 Information Visualization. Instructor: John Stasko. Demo: f1-goat.herokuapp.com Molecular Dynamics Simulation of Noble Gases j C, OpenGL Fall 2018 • Developed an app to simulate and visualize molecular movements of noble gases. • Class: CSE-6010 Computational Problem Solving. Instructor: Richard Fujimoto. Video: youtu.be/czmBBAHVWoA Achievements Winner (EVPR Award), CRIDC Poster Competition j Georgia Tech. 2021 Young Achiever Award for Professional Excellence j 1st ever alumni recipient, IIT Mandi, India. 2020 Citizen Police Academy Graduate j Georgia Tech Police Department, Atlanta, USA. 2019 Winner, Verizon 5G EdTech Challenge ($100k) j Verizon Wireless, New York, USA. 2018 Winner, Apptitude - Android App Challenge j Google Developer Group, India 2015 National Finalist (Top 20), Jed-i Project Challenge j Bengaluru, India. 2015 All India Rank 2 j Aakash Android App Development Challenge, IIT Guwahati, India. 2013 Among Top 1% in India j IITJEE engineering entrance exam, India. 2011 Among Top 1% in India j AIEEE engineering entrance exam, India. 2011 Scholarship, Full Tuition Waiver j Department of Electronics, Sathaye Junior College, India. 2011 Chatrabhuj Narsee Award (All India Top 5) j Secured 97.29% in Class 10, C.N.M. School, India. 2011 Courses CSE 6140: Computational Science & Engineering Algorithms j Xiuwei Zhang Fall 2021 CS 6454: Qualitative Methods in HCI j Elizabeth Di Salvo Fall 2021 CS 7999: Qualifying Exam — Passed Spring 2021 CS 6750: Human Computer Interaction j Elizabeth Mynatt Spring 2020 CS 8803: Visual Data Analysis j Alex Endert Spring 2020 CS 7646: Machine Learning for Trading j Dave Byrd Fall 2019 CS 7001: Introduction to Graduate Studies j Annie Anton, Haesun Kim Fall 2019 CP 6521: Advanced GIS j Yongsung Lee Spring 2019 CP 6514: Introduction to GIS j G. W. Tabopda Spring 2019 CSE 6730: Modeling and Simulation j Richard Fujimoto, Richard Vuduc Spring 2019 CS 7450: Information Visualization j John Stasko Fall 2018 CSE 6010: Computational Problem Solving j Richard Fujimoto Fall 2018 CS 6400: Database systems, Concepts, and Design j Sham Navathe Fall 2018 Teaching Head Teaching Assistant j CS 4460: Introduction to Information Visualization, Georgia Tech. Fall 2021* Mentorship Arpit Mathur j MS HCI Student, Georgia Tech 2021 Jamal Paden j CS Undergrad Student, Georgia Tech 2021 - present Rishab Mitra j CS Undergrad Student,