Summary
Yancheng Li is a research analyst and business analytics professional with nine years of cross-sector experience spanning nonprofit research, corporate analytics, and academic research. Trained in agricultural economics (MS, Oklahoma State) and business analytics (MS, University of Rochester), he combines rigorous econometric and causal-inference methods with practical data engineering—proficient in Python, R, MySQL and Stata. His work has included building Bayesian logistic models with HMC, k-fold validated predictive models, propensity-score matching for policy evaluation, and SQL-driven feature engineering for fraud detection at Alibaba. Yancheng has translated large, messy datasets into actionable insights for policymakers and corporate decision-makers, from obesity policy evaluation to competitive market analysis for Goodyear. Based in Beijing and currently at Good Food Fund, he brings an uncommon blend of academic publishing ambition and hands-on product-risk analytics experience.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Business Analytics, Master of Science - MS, Business Analytics at University of Rochester - Simon Business School
Bachelor's degree, Bachelor of Management Science in Agricultural and Forestry Economics and Management, 3.42/4.0, Bachelor's degree, Bachelor of Management Science in Agricultural and Forestry Economics and Management, 3.42/4.0 at China Agricultural University
Master of Science - MS, Agricultural Economics, 4.0/4.0, Master of Science - MS, Agricultural Economics, 4.0/4.0 at Oklahoma State University