Reese Petersen
Data Scientist
Minnesota, United States
Summary
👤
Senior🎓
Top SchoolReese Petersen is a physicist-turned-data scientist based in Minnesota with nine years of experience blending advanced analytical research and hands-on engineering to solve real-world problems. At LexisNexis Risk Solutions they built cloud-ready tooling and slashed model scoring from eight hours to 13 minutes, demonstrating a practical focus on productionizing models and improving team workflows. Their background spans experimental nanoscale device synthesis, detector noise filtering with gradient-boosted trees, and one-on-one tutoring in mathematics and physics—skills that sharpen both technical rigor and clear communication. Reese is comfortable across Python and Linux environments, and brings an educator’s patience to cross-functional collaboration and mentoring. Actively transitioning from academia and independent tutoring into collaborative data science roles, they look for opportunities where research-grade thinking accelerates business impact.
8 years of coding experience
4 years of employment as a software developer
Associate of Arts (AA), Associate of Arts, Associate of Arts (AA), Associate of Arts at St. Cloud State UniversityMaster of Science - MS, Physics, Master of Science - MS, Physics at University of MinnesotaData Science Course, Data Science Course at ThinkfulBachelor’s Degree, Physics, Bachelor’s Degree, Physics at Brigham Young University
English, Thai
Github Skills (8)
simulation10
lpc9
geant49
python7
git4
event-driven1
cpp1
dispatcher1
Programming languages (2)
Github contributions (5)
reesepetersen/gixperiment
May 2017 - Jun 2018
Contributions:2 PRs, 5 pushes, 4 branches in 1 year
pythonserves
reesepetersen/beamhalo
Jan 2020 - May 2020
Contributions:32 pushes, 1 branch in 3 months
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