Yasmine Hejazi is a Data Scientist IV based in Seattle with nine years of experience blending machine learning, NLP, and product strategy to drive measurable business outcomes. She holds a dual BA in Informatics & Linguistics from UW and a Master’s in Data Science from UC Berkeley, pairing technical depth with human-centered product instincts. At T‑Mobile and Rover she led cross-functional analytics programs that delivered multi-million dollar savings through churn modeling, clustering deduplication, and network-speed regression, and she’s built models for forecasting, promotions, and language generation. Comfortable across the stack—Python, Spark, TensorFlow, SQL—she also brings product management chops from roles at T‑Mobile and Funko, launching telemetry-driven features and enterprise design systems. Known for mentoring data hackathons and translating experiments into strategy, she combines rigorous A/B testing and hypothesis-driven analytics with an economist’s view of marketplace dynamics. An unusual strength: she threads linguistic insight into ML solutions, improving language classification and generative tasks in product contexts.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Informatics and Linguistics, Bachelor's degree, Informatics and Linguistics at University of Washington
Master's degree, Data Science, Master's degree, Data Science at UC Berkeley School of Information
Deep Learning Nanodegree, Deep Learning Nanodegree at Udacity
Contributions:1 review, 23 commits, 1 PR in 2 months
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