Kellie Ottoboni
Senior Data Scientist
Nevada City, California, United States
Summary
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Senior🎓
Top SchoolKellie Ottoboni is a Senior Data Scientist with 11 years of experience applying rigorous statistical thinking to product and policy problems across tech and academia. With a PhD in Statistics from UC Berkeley, she blends principled inference and skepticism about common assumptions with practical tool-building to make others' work easier and more trustworthy. Her background spans election security, public health interventions, and education research, and she has moved between research fellowships and product-focused roles at Pinterest, Fable, and Scribd. Known for designing reproducible, nonparametric statistical software during her PhD, she brings both depth in methodology and a talent for shipping usable analytics in production. Based in Nevada City, CA, she pairs data rigor with a user-centered approach to decision-making—and is also a devoted plant lover.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at University of California, Berkeley
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (58)
markdown10
permutation10
propensity-score-matching10
github-pages10
jekyll10
jekyll-theme10
html10
journal9
algorithms9
python9
cryptographic-hash-functions9
open-access9
jupyter-notebook8
scientific-computing8
stable8
Programming languages (10)
Github contributions (5)
kellieotto/pscore_match
Jul 2017 - May 2018
A Python package for propensity score matching
Contributions:70 commits, 20 PRs, 34 pushes in 10 months
propensity-score-matchingpython
statlab/cryptorandom
Oct 2016 - Sep 2018
Pseudorandom number generators based on cryptographic hash functions
Contributions:2 releases, 89 commits, 29 PRs in 1 year 11 months
cryptographic-hash-functions
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