Adrian Meyers
Staff Data Scientist
Atlanta Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolAdrian Meyers is a Staff Data Scientist with nine years of experience applying machine learning, statistical analysis, and big-data tooling across fintech and analytics teams in the San Francisco Bay Area. He has led production risk-modeling and impact-analysis efforts using Databricks, AWS, PySpark, and gradient boosting to improve revenue and credit decisions at companies like Kabbage, Intuit, and BILL. His background in astrophysics informs a rigorous, simulation-driven approach—he has applied Monte Carlo methods and clustering to 10+ million-row astronomy datasets and translated that discipline to time series forecasting and feature engineering in commercial settings. Comfortable bridging research and product, he delivers explainable models and value-impact analyses in Agile environments while mentoring peers. Notably, his work has combined deep statistical testing (bootstrap, chi-squared) with practical deployment on big-data platforms to turn complex signals into measurable business outcomes.
10 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Astrophysics, Bachelor's degree, Astrophysics at Columbia University
Github Skills (5)
coinmarketcap6
scraper4
utility4
python3
cryptocurrency3
Programming languages (1)
Github contributions (5)
am2786/NYC-taxi-data-analysis
Feb 2018 - Feb 2018
Contributions:26 commits, 25 pushes, 1 branch in 1 day
am2786/Data-Science-How-Tos
Oct 2017 - Feb 2018
Contributions:66 pushes, 1 branch in 4 months
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