Benjamin Leroy

Data, Lead

San Francisco, California, United States
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Summary

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Senior
🎓
Top School
Benjamin Leroy is a statistics-trained data scientist and founder based in Portland, Oregon, with a decade of experience translating rigorous uncertainty quantification and optimization research into practical solutions for industry. He earned a Ph.D. in Statistics and Data Science from Carnegie Mellon where his thesis on simulator-enabled conformal prediction advanced methods for reliable predictive inference in complex settings. At Nike he has driven supply-chain and sourcing analytics—building simulation-backed tooling and a python package used to evaluate multisourcing strategies—while mentoring best coding practices and shipping reproducible solutions. Benjamin combines deep probabilistic modeling and operations-research thinking with strong visualization instincts, and his background includes developing R and Python packages and leading TA roles that reflect a commitment to clear technical communication. Notably, he bridges academic rigor and product impact, now channeling that blend into a stealth startup.
code11 years of coding experience
job7 years of employment as a software developer
bookBachelors in Statistics Bachelors in Applied Mathematics, Bachelors in Statistics Bachelors in Applied Mathematics at University of California, Berkeley
bookAssociate of Arts - AA Mathematics (AA) and Economics (AA), Associate of Arts - AA Mathematics (AA) and Economics (AA) at Santa Rosa Junior College
bookDoctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at Carnegie Mellon University
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Github Skills (23)

ggplot10
graphic9
svg9
static-html8
python8
grammar8
r-package8
r7
package7
data-analysis7
keyring6
closed5
dplyr3
aimms3
backend3

Programming languages (7)

DockerfileRCJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:88 pushes, 27 branches in 1 month
Mr8ND/TC-prediction-bands

Sep 2016 - Mar 2020

Contributions:234 commits, 63 PRs, 21 pushes in 3 years 5 months
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