Fangshu Gao

Data Analyst

Haidian District, Beijing, China
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Summary

👤
Senior
🎓
Top School
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.
code10 years of coding experience
job1 year of employment as a software developer
bookBachelor's degree, Economics, Bachelor's degree, Economics at University of International Business and Economics
bookMaster's degree, Econometrics and Quantitative Economics, Master's degree, Econometrics and Quantitative Economics at Renmin University of China
bookExchange Student, Quantitative Methods in Economics and Information Systems, Exchange Student, Quantitative Methods in Economics and Information Systems at SGH Warsaw School of Economics
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Stackoverflow

Stats
41reputation
33kreached
1answer
3questions
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Github Skills (53)

network-graph9
python9
machine-learning9
python-interface9
deep-learning9
tensorflow8
starcraft8
igraph8
data-science7
network-analysis7
graph-algorithms7
random-walk7
neural-network7
mathematics7
rcpp6

Programming languages (2)

C++Python

Github contributions (5)

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GaoFangshu/ELF-example

Jul 2017 - Dec 2018

Contributions:3 commits, 1 push, 1 branch in 1 year 5 months
GaoFangshu/oldblog

Feb 2021 - Jun 2021

Contributions:5 commits, 14 PRs, 106 pushes in 4 months
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