Tiffany Liang
Junior Data Scientist
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolTiffany Liang is a Junior Data Scientist based in the New York City area and an honors UC Berkeley Data Science graduate who bridges technical rigor with humanistic curiosity. With a decade of professional experience distilled into data roles since university, she has built scalable ETL pipelines and ML-driven inventory optimizers at Kohl’s that handle 230k+ SKUs across 1,000+ stores, and operationalized monitoring dashboards to detect model drift. Her background spans forecasting, NLP, and applied research—from improving long-range sales forecasts and CNN demand models to building an 88% accurate gender classifier for media analysis—reflecting both applied ML and thoughtful evaluation of social impact. She pairs production-focused tooling (BigQuery, Airflow, Vertex AI, Gurobi) with a writer’s instinct for clear communication, having driven notable engagement increases in campus communications and produced research-driven narratives.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Data Science, Bachelor's degree, Data Science at University of California, Berkeley
Github Skills (8)
jasperreports9
schema9
portal9
css8
react8
user-interface7
javascript7
markdown1
Programming languages (3)
Github contributions (5)
hubmapconsortium/use-case-library
Sep 2022 - Oct 2022
Contributions:7 commits, 5 pushes, 10 comments in 14 days
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