Adam Reevesman
Research Data Supervisor I
Sacramento, California, United States
Summary
👤
Senior🎓
Top SchoolAdam Reevesman is a data science and engineering professional with nine years of experience building ETL pipelines, predictive models, and interactive dashboards that translate complex datasets into actionable policy and product insights. Currently a Research Data Supervisor at the California Department of Developmental Services, he has a track record of improving performance and transparency—reducing dashboard refresh times to near-instantaneous and designing suppression algorithms that balance privacy with public access. He pairs strong statistical training (MS Data Science, BS Mathematical Sciences, High Honors) with production skills across Python, Snowflake, PostgreSQL, Airflow, and Power BI. Adam has delivered solutions across government and industry—from automating workflows that cut manual effort by over 65% to deploying item-response analytics and web apps for statewide boards—demonstrating an ability to move proof-of-concept models into reliable, reusable tools. Colleagues rely on him to turn messy data into reproducible, shareable assets and to codify visualization patterns for team-wide reuse.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University of San FranciscoBachelor of Science Mathematical Sciences (High Honors), Bachelor of Science Mathematical Sciences (High Honors) at UC Santa Barbara
Github Skills (11)
arctic7
doi7
ecology7
eml7
data-repository6
r-package5
science5
metadata5
open-data5
data-processing2
data-center1
Programming languages (2)
Github contributions (5)
areevesman/reinforcement-learning-for-snake
Jun 2019 - Jul 2020
Contributions:49 commits, 48 pushes, 1 branch in 1 year 1 month
areevesman/reddit-upvote-modeling
Dec 2018 - Dec 2018
Contributions:17 commits, 19 pushes in 1 day
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