Hin _
Director Of Reject Inference at IceKredit, Inc.
Shenzhen, Guangdong Province, China
Summary
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Senior🎓
Top SchoolHin _ is an experienced data scientist and quantitative leader with a decade of experience building credit risk and forecasting systems, currently serving as Director of Reject Inference at IceKredit in Shenzhen. Trained in financial engineering (MSc, Stevens) with advanced statistics coursework from Stanford and FRM Part I passed, he blends rigorous statistical learning and Monte Carlo forecasting with hands-on Python, R, and SQL implementation. His career spans applied ML roles at ESPN and multiple senior data science positions where he led bank-scale credit evaluation projects and productionized models for individuals and SMEs. Earlier experience as a quantitative trader informs his strength in volatility modeling and pragmatic risk-aware decision making. Active on GitHub and passionate about data science, he combines research-grade methods with product delivery in fintech settings. An uncommon asset is his cross-domain fluency—from trading signals to consumer credit—enabling him to translate complex models into deployable business outcomes.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, 3.3/4.0, Bachelor of Science (B.S.), Computer Science, 3.3/4.0 at Guangdong University of TechnologyMaster of Science (MSc), Financial Engineering, 3.8/4.0, Master of Science (MSc), Financial Engineering, 3.8/4.0 at Stevens Institute of TechnologyCertificate, Statistics, 90%, Certificate, Statistics, 90% at Stanford University
English, Chinese, ChineseGithub contributions (5)
HinChou/Draftkings-Fantasy-Lineups-Optimization
Jun 2016 - Oct 2017
Contributions:7 commits, 6 pushes, 1 branch in 1 year 4 months
HinChou/Evaluating-Bagging-Boosting-And-Stacking-Model
Feb 2017 - Nov 2018
Contributions:22 commits, 21 pushes, 1 branch in 1 year 9 months
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