Kabir Khanna
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKabir Khanna is Director of Elections & Analytics with a decade of experience applying political science, statistics, and software to explain and forecast public opinion and voter behavior. A Princeton PhD, he blends academic rigor—publishing on partisan bias and predictive modeling—with newsroom impact, building proprietary models and leading election-night decision desks for major outlets. He’s skilled in survey methodology, probabilistic modeling (including authoring R packages used for race/ethnicity estimation), and translating complex analytics into clear on-air narratives for both specialists and the public. Based in New York, Kabir pairs hands-on technical development and data visualization with team leadership under high-pressure live-election conditions.
10 years of coding experience
2 years of employment as a software developer
M.A. in Psychology and B.A. in Human Biology (Neurophilosophy concentration), M.A. in Psychology and B.A. in Human Biology (Neurophilosophy concentration) at Stanford UniversityPh.D. and M.A., Politics, Ph.D. and M.A., Politics at Princeton University
English, spanish (conversational), hindi (basic)
Github Skills (9)
prediction10
bayesian10
r-package10
geolocation10
survey1
voting1
r-language1
r-programming1
cps1
Programming languages (2)
Github contributions (3)
kosukeimai/wru
Oct 2015 - Feb 2022
Who Are You? Bayesian Prediction of Racial Category Using Surname and Geolocation
Contributions:10 releases, 91 commits, 6 PRs in 6 years 4 months
r-packagepredictioncategorygeolocationbayesian
HJ08003/wru
Dec 2016 - Dec 2016
Contributions:1 push in 1 day
r-packagepredictioncategorygeolocationbayesian
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