Summary
Hankai Lu is a Business Decisions Analyst with nine years of quantitative and applied research experience bridging analytics, UX research, and design. Currently at the University of Pennsylvania, he develops advancement prospect analytics and alumni relations solutions using SQL, R/Python, Hive, Tableau and advanced experimental methods. His background spans academic research at Wharton and Berkeley Lab, industry consulting in people analytics, and product-focused data operations, giving him a rare blend of rigorous causal inference (RCTs, quasi-experiments) and production BI/reporting skills. Comfortable in both code and creative tools (Adobe suite), he translates complex models—Bayesian, time-series, clustering—into actionable insights and polished stakeholder-ready reports. Colleagues describe him as intellectually curious and candidly self-aware—“too young, too simple” on GitHub—bringing a fresh perspective to established analytics challenges.
9 years of coding experience
3 years of employment as a software developer
Exchange Program, Exchange Program at University of California, Berkeley
Bachelor's degree, Finance, Bachelor's degree, Finance at Chongqing University of Technology
Exchange Program, International Business, Exchange Program, International Business at Sichuan International Studies University
Master of Science - MS, SMART (Statistics, Measurement, Assessment and Research Technology), Master of Science - MS, SMART (Statistics, Measurement, Assessment and Research Technology) at University of Pennsylvania
Chinese, English