Elvin Ouyang is a Staff Data Scientist with nine years of experience designing and productionizing ML systems to improve product outcomes, currently shaping the Shopify App Store for merchant utility. He combines strong engineering chops—Python/R, PyTorch/TensorFlow, PySpark, cloud and containerized deployments—with domain experience in financial transaction monitoring, customer graph modeling, and targeted marketing from roles at Capital One and PwC. Comfortable across the full ML lifecycle, Elvin has built AutoML pipelines, NLP models, and graph-based solutions that moved from prototyping into bank and e-commerce production environments. His background in international affairs and law informs a pragmatic approach to compliance-aware analytics and cross-border data projects. Fluent in Mandarin and experienced in both consulting and in-house product teams, he bridges technical delivery with stakeholder-facing strategy. An early adopter of graph ML and scalable NLP in regulated industries, he brings a blend of technical depth and operational rigor to AI product development.
9 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.) Data Science, Master of Science (M.S.) Data Science at The George Washington University Columbian College of Arts & Sciences
Postgraduate Professional Development Program, Postgraduate Professional Development Program at The Washington Center for Internships and Academic Seminars
Master of Arts (M.A.) International Trade and Investment Policy, Master of Arts (M.A.) International Trade and Investment Policy at Elliott School of International Affairs
Bachelor of Laws (LLB) International Politics, Bachelor of Laws (LLB) International Politics at Fudan University
Exchange Student Political Science, Exchange Student Political Science at The University of British Columbia
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