Kyle Safran
Data Scientist
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolKyle Safran is a data scientist with a decade of experience applying machine learning and statistical modeling to business and policy problems, currently based in Washington, DC. He has driven analytics and productization efforts at organizations ranging from GEICO and Excella to Ledger Investing, where he progressed from Data Scientist to Lead and helped spin out Korra as Director of Data Science. His background in mathematics and economics, combined with self-taught software and CS skills, enables him to bridge rigorous quantitative work and production-ready implementation. Kyle excels at translating complex analyses for non-technical stakeholders—a skill honed through tutoring and coaching—and focuses on practical, auditable solutions for regulated domains like insurance and immigration services. He is particularly interested in building big-data tools that simplify complicated decision processes for end users. Known for staying current with emerging tools and methods, he balances domain expertise with an engineer’s attention to reproducibility and deployment.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS) Economics Mathematics, Bachelor of Science (BS) Economics Mathematics at Michigan State University
Stackoverflow
463reputation
12kreached
23answers
1question
Github Skills (46)
kubernetes10
pytorch10
qt10
python10
matplotlib10
gtk10
natural-language-processing10
nlp10
data-science9
visualization9
transformers9
machine-learning9
language-model9
bert9
tensorflow9
Programming languages (5)
Github contributions (5)
KSafran/rc_files
Jan 2019 - Dec 2024
Contributions:20 pushes, 1 branch in 5 years 11 months
KSafran/glimpy
Jan 2020 - Jan 2020
Generalized Linear Models in Python
Contributions:5 releases, 80 commits, 10 PRs in 16 days
pythondataframesgeneralized-linear-modelslinear-modelsmachine-learning
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