Yiheng Li
Data Scientist
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolYiheng Li is a data scientist based in Berkeley with a decade of hands-on experience applying statistical and quantitative techniques across finance and tech. He holds a high-achieving Statistics BSc from University of Toronto and a Master in Financial Engineering from UC Berkeley Haas, and has worked as a quantitative researcher at DRW and as a strategic finance data scientist at Uber. Comfortable with Python, Excel, and data-driven problem solving, Yiheng has moved between roles in analytics, testing, and big data, demonstrating strong organizational and communication skills developed in corporate and student leadership settings. His background spans production-focused analytics and research-oriented quant work, giving him fluency in both experimental modeling and business-driven measurement. Notably, he pairs rigorous academic performance (3.93/4.0) with practical internship-to-full-time progression at top firms, reflecting an ability to translate theory into deployable insights. He’s also exploring JS visualizations and web apps, signaling an appetite to bridge modeling with interactive delivery.
10 years of coding experience
3 years of employment as a software developer
Honours Bachelor of Science, Statistics, 3.93/4.0, Honours Bachelor of Science, Statistics, 3.93/4.0 at University of Toronto at ScarboroughMaster, Financial Engineering, Master, Financial Engineering at University of California, Berkeley, Haas School of Business
Chinese, English
Github Skills (200)
tqdm10
charting10
svg10
meter10
charts10
browser10
data-visualization10
development-environment10
visualization10
discord10
canvas10
ide10
optimization-methods9
javascript9
echarts9
Programming languages (10)
Github contributions (5)
yihengli/finbox
Jan 2019 - Mar 2019
A python client for finance related jobs
Contributions:1 release, 63 commits, 2 PRs in 1 month
financepythonjobspython-client
amritprasad/MFE_DAM
Mar 2019 - Mar 2019
Contributions:8 PRs, 25 pushes, 1 branch in 18 days
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