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    Michelle Huang

    Product Data Scientist at Waymo

    Michelle Huang is a skilled Product Data Scientist who has made significant contributions in the field of data science, particularly during her tenure at Waymo from June 2021 to March 2023. In her role at Waymo, she focused on operational analytics, employing statistical techniques such as predictive modeling, anomaly detection, and A/B testing to uncover opportunities for improvement within the organization. Notably, she conducted exploratory data analyses related to validation mileage collection and trucking operations, investigated driver fatigue incidents, and collaborated with various teams to implement a new fatigue policy based on her findings.1

    Prior to her position at Waymo, Huang worked at Wellio as a Senior Product Data Scientist, where she played a crucial role in transforming the company into a data-driven organization. Her responsibilities included conducting user behavior analyses, developing data products powered by machine learning, and facilitating experimentation across multiple teams.1

    Huang holds a Bachelor of Science in Statistics from the University of California, Los Angeles (UCLA) and a Master's degree in Statistics from the University of California, Berkeley. Her educational background complements her extensive professional experience in data science and analytics.1

    Highlights

    Statistics PhD Alumni | Department of Statistics | Illinois

    Related Questions

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    Michelle Huang
    Michelle Huang, photo 1
    Michelle Huang, photo 2
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    Location

    San Francisco Bay Area
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