Luke Reding

Senior Manager, Data Science

Washington, District of Columbia, United States
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Summary

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Senior
🎓
Top School
Luke Reding is a Senior Manager in Data Science with 11 years of experience applying machine learning, model risk management, and decision systems across fintech and research settings. He builds and scales production ML infrastructure and governance—having led model infrastructure and always-on experimentation platforms that saved ~$60M annually—and now focuses on model risk at Capital One. Comfortable bridging research and product, he combines a PhD in computational ethology with hands-on engineering (Argo, Spark, Kubernetes) to deliver auditable, well-documented models. He’s led cross-functional teams at Upstart and Capital One to expand access to fairer credit products while mentoring data scientists and shaping platform standards. Notably, his background in biology-driven experimentation informs a data-centric approach to model interpretability and robust decisioning.
code11 years of coding experience
job12 years of employment as a software developer
bookPhD integrative biology computational ethology, PhD integrative biology computational ethology at The University of Texas at Austin
bookBS Biology, BS Biology at William & Mary
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Github Skills (33)

gnuplot9
jq8
r8
unix7
data-visualizations7
bash7
linux7
curl7
python7
bookdown7
cli7
shell7
encapsulation6
zsh6
datashader6

Programming languages (3)

GoHTMLPython

Github contributions (5)

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Contributions:65 commits, 62 pushes, 1 branch in 1 year 8 months
lukereding/book_notes

Mar 2018 - Dec 2025

notes on various books I read
Contributions:3 PRs, 292 pushes, 2 branches in 7 years 10 months
notes
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