Rachel Beal

Senior Data Scientist, Product

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Rachel Beal is a Senior Data Scientist in Google’s Product organization with six years of industry experience turning experimental science into production ML and analytics. She holds a PhD in Materials Science from Stanford and has a strong track record in experimental design, in situ X-ray characterization, and developing production-ready models in Python and R across classification, regression, and reinforcement learning. Rachel has led data science for product teams at Square and Macy’s, where she scaled propensity models and ran rapid experimentation for personalization and CRM. Her background in physical-science research informs a quantitative, measurement-driven approach to product problems—she even coded a value-iteration reinforcement learning solver and deployed an interactive AWS Dash app during a data science fellowship. Based in the San Francisco Bay Area, she blends deep domain expertise with practical product impact, especially in translating noisy experimental data into actionable business signals.
code5 years of coding experience
job6 years of employment as a software developer
bookBachelor of Arts (B.A.), Materials Science, GPA: 3.941, Bachelor of Arts (B.A.), Materials Science, GPA: 3.941 at Northwestern University
bookCornell University
bookValedictorian (2009), Valedictorian (2009) at Ridgefield High School
bookDoctor of Philosophy (PhD), Materials Science Engineering, GPA: 3.914, Doctor of Philosophy (PhD), Materials Science Engineering, GPA: 3.914 at Stanford University
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Github Skills (1)

reinforcement-learning6

Programming languages (1)

Jupyter Notebook

Github contributions (2)

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rachelbeal/FasTack

Jun 2020 - Sep 2020

FasTack can be used to optimize sailboat routes based on wind data using reinforcement learning with value iteration and value iteration with Q-learning.
Contributions:65 commits, 62 pushes, 1 branch in 3 months
qlearningreinforcement-learningsailing
rachelbeal/CodeacademySQL

Jun 2020 - Jun 2020

Contributions:1 branch in 1 day
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Rachel Beal - Senior Data Scientist, Product