Mingyang Lou
Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMingyang Lou is a data scientist with eight years of experience applying machine learning and quantitative techniques to finance and product analytics, currently contributing to Lyft’s data science efforts in San Francisco. He blends strong programming skills in Python, R, SQL and MATLAB with practical expertise in NLP, predictive modeling, and image-based diagnostics from UC Berkeley research that achieved 95% specificity on diabetic retinopathy screening. His background includes reinforcement-learning work for optimal trading at JPMorgan, multi-factor and systematic strategy development at securities firms, and production-focused automation that sped up factor analysis and trading workflows. Comfortable moving models from research to reproducible pipelines and dashboards (Tableau), Mingyang uniquely pairs financial engineering rigor with applied ML experience across time-series, text, and imaging domains.
8 years of coding experience
Master of Engineering - MEng, IEOR(FinTech), 3.9, Master of Engineering - MEng, IEOR(FinTech), 3.9 at UC Berkeley College of EngineeringBachelor of Science, Finance, Math, 3.69, Bachelor of Science, Finance, Math, 3.69 at Renmin University of ChinaLondon School of Economics and Political Science
Github Skills (2)
php2
weibo1
Programming languages (1)
Github contributions (5)
MingyangLou/Predict-Stock-Market-Movements-with-Financial-News
Dec 2019 - Feb 2020
Contributions:24 commits, 23 pushes, 1 branch in 2 months
MingyangLou/Diabetic-Retinopathy-Detection-and-Diagnosis
Nov 2019 - Feb 2020
Contributions:25 commits, 24 pushes, 1 branch in 2 months
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