Megan Thomas

Associate Manager - Data Science

Pennsylvania, United States
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Summary

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Senior
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Top School
Megan Thomas is an Associate Manager in Data Science with eight years of hands-on experience turning large, messy datasets into actionable predictive models, automated reporting, and executive-ready dashboards. She has driven measurable business impact across education technology, retail, insurance, and software services—delivering wins like a 20% YOY conversion lift at DoorDash and streamlining marketing analytics and GA4 migration at LegalZoom. Comfortable at the intersection of statistics and engineering, Megan builds reproducible models for retention, cross-sell, fraud detection, and contract valuation while making complex results broadly accessible through intuitive visualizations. Her background includes near-complete PhD training in statistics from UC Berkeley and repeated success operationalizing analytics so they become everyday decision tools for sales, marketing, and operations. Notably, she combines deep experimental design and A/B testing expertise with pragmatic automation that reduces reporting time and uncovers high-value growth opportunities.
code8 years of coding experience
job9 years of employment as a software developer
bookPhD (All but dissertation) Statistics, PhD (All but dissertation) Statistics at University of California, Berkeley
bookBachelor of Science (BS) Statistics, Bachelor of Science (BS) Statistics at University of Pittsburgh

Programming languages (1)

JavaScript

Github contributions (5)

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mrayanne113/linkedList

Feb 2018 - May 2018

Contributions:29 PRs, 32 pushes, 9 branches in 3 months
cssjavascriptreactbookmarks
mrayanne113/connect-four

Mar 2018 - May 2018

Contributions:30 PRs, 40 pushes, 9 branches in 2 months
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Megan Thomas - Associate Manager - Data Science