Fangshu Gao is a data analyst with 10 years of experience blending econometric rigor and applied machine learning across research and industry. Currently at ByteDance, Fangshu translates complex product and user data into actionable insights, building on earlier roles including a research assistantship focused on reinforcement learning, path-finding, and multi-agent coordination. Holding a master’s in Econometrics and Quantitative Economics from Renmin University and an exchange background in quantitative methods from SGH Warsaw, Fangshu bridges economic theory and computational practice. Comfortable with both research-grade algorithms and production analytics, they bring a rare combination of academic RL experience and hands-on product analytics. Based in Haidian District, Beijing, Fangshu’s profile reflects a curiosity-driven career trajectory that moves fluidly between modelling, experimentation, and real-world impact.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Economics, Bachelor's degree, Economics at University of International Business and Economics
Master's degree, Econometrics and Quantitative Economics, Master's degree, Econometrics and Quantitative Economics at Renmin University of China
Exchange Student, Quantitative Methods in Economics and Information Systems, Exchange Student, Quantitative Methods in Economics and Information Systems at SGH Warsaw School of Economics
Contributions:5 commits, 14 PRs, 106 pushes in 4 months
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