Sign In

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

What specific projects did Michelle Huang work on at Waymo?
How did Michelle Huang's work at Wellio impact the company's data-driven approach?
What statistical techniques did Michelle Huang use to investigate driver fatigue incidents at Waymo?
Can you provide more details about the data analytics onboarding workshop led by Michelle Huang?
What were the key achievements of Michelle Huang during her time at American Honda Motor Company, Inc?
Michelle Huang
Michelle Huang, photo 1
Michelle Huang, photo 2
Add to my network

Location

San Francisco Bay Area