Hangzhi Shi

Data Science

United States
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Summary

👤
Senior
🎓
Top School
Hangzhi Shi is a data scientist with nine years of experience applying rigorous statistical methods to healthcare and financial services, now driving data science at PayPal. With a Master’s in Statistics from Carnegie Mellon and a multidisciplinary undergraduate background in math, economics, and computer science, he blends deep quantitative rigor with product-focused analytics. He has led analytic initiatives at TransUnion and CVS Health and has hands-on experience as a research statistician in academic medicine, giving him a strong grounding in causal inference and clinical data. Colleagues know him for turning complex algorithmic analysis into actionable business insights and for pairing critical thinking with practical implementation. An early founder and former investment analyst, he brings entrepreneurial curiosity and cross-domain perspective to large-scale data problems.
code9 years of coding experience
job7 years of employment as a software developer
bookHigh School, High School at Nanjing Foreign Language School
bookBachelor’s Degree Mathematics; Economics;Computer Science, Bachelor’s Degree Mathematics; Economics;Computer Science at Washington University in St. Louis
bookMaster’s Degree Statistics, Master’s Degree Statistics at Carnegie Mellon University
languagesEnglish, Chinese, French
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Github Skills (8)

iteration3
uci3
tenacity2
bootstrap2
machine-learning2
deep-learning2
css2
bootsfaces1

Programming languages (5)

JavaJavaScriptVueSwiftRuby

Github contributions (5)

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Contributions:16 pushes in 5 months
Alina-PANG/To_do_list

Dec 2016 - Feb 2017

Contributions:13 pushes, 3 branches in 1 month
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Hangzhi Shi - Data Science