Devin Patton
Machine Learning Engineer at General Mills
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDevin Patton is a Machine Learning Engineer at General Mills in San Francisco with around 8 years of experience building and deploying data-driven solutions. He has led end-to-end data pipelines using Airflow, Talend, and dbt, and routinely collaborates with product managers and engineers to align on expectations and timelines. Notably, he automated scheduling and testing for a Nielsen International transition spanning 25 countries, boosting reliability and efficiency. His background spans data engineering and analytics across industries, including timeseries analytics, KPI development, and self-service analytics via analytics warehouses. With a biology background and a track record of applying rigorous, data-driven thinking to complex problems, he combines technical depth with a collaborative, stakeholder-focused approach. Based in the San Francisco Bay Area, he thrives in dynamic environments and continually seeks opportunities to unlock data's potential.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Biology/Biological Sciences, General, Bachelor of Science (BS), Biology/Biological Sciences, General at Utah State UniversityMaster of Science (M.S.), Biology/Biological Sciences, General, Master of Science (M.S.), Biology/Biological Sciences, General at Eastern Washington University
Github Skills (9)
quantile5
ssa4
mta2
css1
python1
javascript1
postgresql1
docker1
react1
Programming languages (2)
Github contributions (5)
nalehc/Color-Name
Sep 2017 - Jun 2019
Contributions:15 pushes, 1 branch in 1 year 8 months
nalehc/gala_flyer_locations
Jul 2018 - Jul 2018
Analysis of MTA turnstile data to optimize flyer distribution
Contributions:4 PRs, 18 pushes, 1 branch in 3 days
flyermta-turnstile-dataturnstilemtaquantile
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