Katie Sohn is a Lead Data Scientist in New York with eight years of experience turning marketing and product data into actionable insights using Python, R, NLP, and big data tools (Spark/Hive/AWS). She progressed through data science roles at Digitas after an immersive fellowship at NYC Data Science Academy where she built recommender systems, deployed Flask APIs, and created interactive R Shiny visualizations. Her background in digital marketing for Saks Fifth Avenue and Samsung gives her a rare blend of domain-savvy experimentation and rigorous statistical modeling for customer-facing problems. Comfortable with end-to-end pipelines—from web scraping and feature engineering to ensemble modeling and production deployment—she regularly bridges analytics and business strategy. An auditor-turned-data scientist, she brings disciplined, audit-grade thinking to model validation and data governance.
Contributions:4 commits, 3 pushes, 1 branch in 1 month
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