Trevor Johnson
Data Scientist, Growth
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolTrevor Johnson is a data scientist in San Francisco with nine years of experience applying machine learning, time series forecasting, and data engineering to growth and risk problems. He currently drives growth analytics at Meta after building risk models, experiments, and Airflow pipelines at Lyft and developing actuarial-grade medical risk and financial forecasts at Mercer. Trained in actuarial science and holding a Berkeley MIDS, Trevor blends rigorous statistical thinking with pragmatic product-focused deployment, including R/Shiny web apps and Power BI integrations. He has published and presented forecasting work in actuarial venues and brings uncommon domain fluency in insurance risk together with hands-on experimentation design. Known for translating technical concepts to non-technical stakeholders, he excels at turning complex models into actionable business insights.
9 years of coding experience
5 years of employment as a software developer
Master of Information and Data Science (MIDS), Master of Information and Data Science (MIDS) at University of California, BerkeleyBachelor’s Degree, Actuarial Science, Bachelor’s Degree, Actuarial Science at Brigham Young University
English, Portuguese
Github Skills (6)
reddit3
summarization3
css3
react2
javascript2
nlp2
Programming languages (2)
Github contributions (5)
trevor-johnson/trevor-johnson.github.io
Aug 2019 - Mar 2024
Portfolio (old v2)
Contributions:25 pushes, 1 branch in 4 years 6 months
cssjavascriptreact
mattslyons/JLPS_capstone_project
Sep 2022 - Dec 2022
Contributions:161 commits, 120 PRs, 130 pushes in 3 months
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