Summary
Angela Jing is a data scientist with 11 years of quantitative and ML experience who blends rigorous academic training from Berkeley and MIT with hands-on product impact at companies from Tencent to Duolingo. She designs and deploys production ML pipelines and web apps—examples include a 94% accurate complaint classifier that saved 300 manual hours annually and a RAG-driven personalized email system projected to lift clicks by 12% and add $2.85M in annual revenue. Her background spans computational economics and causal analysis, enabling her to connect modeling choices to business and policy decisions. Comfortable with NLP, CV, ranking models, and end-to-end deployment, she brings both research discipline and a track record of delivering measurable ROI. A less obvious strength: she has built open-source tooling for mortality estimation that substitutes for costly proprietary data, demonstrating a knack for creating practical, cost-saving analytics.
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
Master of Business Analytics, 5.0/5.0, Master of Business Analytics, 5.0/5.0 at Massachusetts Institute of Technology
Young Scholars Programme, Statistics, A, Young Scholars Programme, Statistics, A at The University of Auckland
International Baccalaureate Diploma, 43/45, International Baccalaureate Diploma, 43/45 at Auckland International College
English, Chinese