Jacob Kaplan

Professional Specialist at 1930 Research LLC

Greater Philadelphia United States
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Summary

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Senior
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Top School
Jacob Kaplan is a data-driven research specialist and founder with a Ph.D. in Criminology who applies advanced engineering techniques to public safety and voting research. Based at Princeton University and the Princeton School of Public and International Affairs, he leverages large-scale geospatial mobility data and probabilistic record linkage to answer policy-relevant questions about policing, homelessness, and civic participation. He builds automated NLP pipelines with LLMs to classify and cluster messy police data and has cleaned and harmonized multi-agency datasets from nearly 100 departments. As founder of 1930 Research LLC, he turns complex CAD/RMS and survey data into analysis-ready products for decision-makers. His work has informed federal policy deliberations—he served as a voting member on the FBI’s UCR subcommittee—and he pairs rigorous academic methods with production-grade ETL and code-review practices. Based in the New York City area, he blends academic rigor, practical data engineering, and a privacy-first mindset to make administrative data usable and trustworthy.
code10 years of coding experience
bookCalifornia State University, Sacramento
bookPhD, Criminology, PhD, Criminology at University of Pennsylvania
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Github Skills (62)

spss10
programming-language10
r-package10
sas10
r10
rstudio10
dummy-data10
ascii10
data-reader10
fbi10
binary-data10
rows10
fixed-width10
bookdown9
sports-data8

Programming languages (7)

RSchemeCTeXMakefileHTMLPython

Github contributions (5)

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jacobkap/fastDummies

Apr 2017 - Oct 2021

The goal of fastDummies is to quickly create dummy variables (columns) and dummy rows.
Contributions:76 commits, 5 PRs, 87 pushes in 4 years 6 months
variablescolumnsrowsgoaldummy-columns
jacobkap/phillyvotes

Jan 2018 - May 2023

Contributions:3 pushes, 1 branch in 5 years 5 months
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