Yufeng Chen
Chief Data Scientist
Zhejiang, United States
Summary
👤
Senior🎓
Top SchoolYufeng Chen is a Chief Data Scientist with a Ph.D. and 11 years of experience building analytics and risk systems across fintech, healthcare, and payments. He has led teams at TrustPoint.ai, Flywire, Simplee, Prosper, and PayPal/EBay to design production-grade scoring models, pricing frameworks, and analytical data warehouses that drive lending, billing, and fraud decisions. Known for turning large, real-time datasets into actionable insight, he combines machine learning, A/B testing, and distributed computing to improve onboarding, payment, impersonation, and account-takeover risk controls. He also architects BI and visualization stacks (Superset, Looker, Sisense, Tableau) to democratize analytics for sales, customer success, and finance. Unusually for a data leader, his background in computational physics and postdoctoral research gives him a rigorous modeling lens that he applies to operational problems like construction lending health scores and propensity-to-pay systems. Based in Zhejiang and reachable at yufengchenus@gmail.com, he blends deep technical craft with cross-functional leadership to deliver measurable business impact.
11 years of coding experience
11 years of employment as a software developer
Ph.D. Computational Physics, Ph.D. Computational Physics at Fudan UniversityPostdoctoral Program, Postdoctoral Program at Lawrence Berkeley National Lab, University of California Berkeley, Pennsylvania State University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (44)
geth10
git10
gitignore10
abi10
php10
go10
ethereum10
meizu10
blockchain10
golang10
version-control10
p2p10
baidumap9
uicollectionview9
nib9
Programming languages (4)
Github contributions (5)
chenyufeng1991/iOS-Oncenote
Nov 2015 - Jan 2016
Contributions:1 release, 115 commits, 56 pushes in 2 months
swiftiosevernoteios-app
chenyufeng1991/ReactiveCocoaDemo
May 2016 - May 2016
Contributions:60 commits, 6 pushes, 1 branch in 4 days
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