Summary
Angela Jing is a data scientist in New York with a decade of experience applying analytics to business and social science questions. She is currently a Data Scientist at Duolingo, translating data into scalable insights that support learning outcomes and user engagement. Previously, at DICK'S Sporting Goods as part of an MIT Capstone, she built a clustering-based email personalization system using a RAG-enabled LLM and a ranking model, deployed as a web app, projected to boost clicks by 12% and annual revenue by about $2.85M while cutting email creation time by ~30%. Her work at Massive Data Institute includes publishing an open-source tool that uses NLP and computer vision to infer demographics from obituary data and generate real-time mortality estimates. She holds a BA in Computer Science and Economics from UC Berkeley and a Master of Business Analytics from MIT, with a track record of cross-disciplinary research across economics, data science, and software engineering. Based in New York, she brings a rare blend of rigorous analytics, product-minded execution, and a drive to turn data into practical impact.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Computer Science and Economics, 3.92/4.00, Bachelor of Arts - BA, Computer Science and Economics, 3.92/4.00 at University of California, Berkeley
Young Scholars Programme, Statistics, A, Young Scholars Programme, Statistics, A at The University of Auckland
Master of Business Analytics, 5.0/5.0, Master of Business Analytics, 5.0/5.0 at Massachusetts Institute of Technology
International Baccalaureate Diploma, 43/45, International Baccalaureate Diploma, 43/45 at Auckland International College
English, Chinese