Summary
Anpu Li is a data scientist with nine years of experience applying experimentation, causal inference, and machine learning to product and operational problems across TikTok, ByteDance, and Microsoft. Based in Bellevue, WA, Anpu has driven app performance optimization and data center capacity strategy while translating business goals into A/B tests, statistical analyses, and production ML models. Early roles at Meituan, Tencent, and AIG honed a blend of e-commerce and advertising analytics with practical model explainability (LIME) and feature-reduction work deployed on AWS. Academically grounded with dual master's training at Cornell Tech and a 3.9 BS in Data Science/CS from NYU Shanghai, Anpu pairs rigorous quantitative skills with product-first instincts. A notable throughline is turning complex datasets into actionable recommendations—e.g., segmented retention strategies that boosted vendor/user metrics and fraud-detection pilots that halved human effort.
9 years of coding experience
3 years of employment as a software developer
Jianping High School
Study Abroad, Comouter Science, Mathematics, Finance, Study Abroad, Comouter Science, Mathematics, Finance at New York University
Bachelor of Science - BS, Data Science (Finance Concentration) and Computer Science, 3.9 / 4.0, Bachelor of Science - BS, Data Science (Finance Concentration) and Computer Science, 3.9 / 4.0 at New York University Shanghai
Dual Master's Degrees, Information Science (Health Tech Concentration), Dual Master's Degrees, Information Science (Health Tech Concentration) at Cornell Tech