Natalie Chun
Staff Analytics Engineer at Cambly Inc.
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNatalie Chun is a Staff Analytics Engineer in San Francisco with a decade of applied economics and data science experience building scalable algorithms and automations that drive policy and product decisions. Trained as a PhD economist at Stanford, she has led large research teams and productionized causal and marketplace models—delivering measurable business impact such as a 42% incremental spend increase from a deployed attribution experiment. Her background spans international development and tech, from labor-market scraping and randomized evaluations at the World Bank and IPA to optimizing ETL and marketplace modeling at Udemy and Retool. She combines rigorous causal inference and econometric methods with hands-on engineering (Python, Redshift/Hive, production APIs) to move analyses from prototype to reliable production pipelines. Natalie is particularly focused on leveraging analytics for social impact, and she often blends unconventional data sources (job sites, geolocated data) to reveal policy-relevant insights.
9 years of coding experience
11 years of employment as a software developer
University of California, Los AngelesPh.D. M.A. Economics, Ph.D. M.A. Economics at Stanford University
Github Skills (2)
pubmed2
pdf1
Programming languages (2)
Github contributions (5)
natc79/EgyptJobData
Nov 2017 - Mar 2018
Contributions:29 commits, 28 pushes, 1 branch in 3 months
natc79/IntlDevEngagement
Jul 2017 - Jul 2017
Contributions:4 PRs, 48 pushes, 2 branches in 14 days
examinefacebookengagementfollowerorganizations
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