Ian Nachman is an Associate at BCG and an economics-trained data scientist with eight years of research and applied analytics experience, combining a Brown University background in Economics and Applied Math with deep proficiency in R, Python, and Stata. He has run large-scale regressions on tens of millions of ACS observations, built web scrapers collecting hundreds of thousands of regulatory datapoints, and implemented causal methods like synthetic control to study policy impacts. Comfortable moving between academic publication-quality research and client-focused analysis, he has published work that appeared in outlets like NBER/SSRN and contributed NLP and Monte Carlo–based studies on financial inclusion and regulatory sentiment. Based in New York, he also develops ML projects independently (creator of Hush) and brings a practical bent—having coded end-to-end data pipelines and even delivered prescriptions on foot—illustrating a blend of technical rigor, product curiosity, and hands-on grit.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Economics, Applied Mathematics, 4.0, Bachelor's degree, Economics, Applied Mathematics, 4.0 at Brown University
High School Diploma, High School Diploma at Hunter College High School
A Swift library for validating X.509 certificate chains. Based on BoringSSL.
Contributions:14 commits, 1 PR, 11 pushes in 1 year 5 months
swift-librarychainsswiftcertificateboringssl
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