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Peggy Fan

Senior Data Scientist at Eaze

Peggy Fan is a seasoned leader with a wealth of experience in product analytics, forecasting, and building data science teams.

She has a strong background in developing models and proofs of concept using various machine learning algorithms, collaborating with product and engineering teams, and deploying machine learning pipelines.

Peggy is adept at addressing statistical, engineering, and data challenges while leading and mentoring data scientists of different levels.

Her educational journey includes a Master of Arts in Political Science from Stanford University, an MSc in Comparative and International Education from the University of Oxford, a B.A. in Women's and Gender Studies from Amherst College, and a Ph.D. in International and Comparative Education from Stanford University Graduate School of Education.

Currently, Peggy Fan serves as a Senior Data Scientist at Eaze, where she continues to contribute her expertise in data science and analytics.

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Location

Los Angeles Metropolitan Area