Igor Geyn, PhD Applied Data Scientist SF Bay Area
Applied data scientist and researcher with a publication record and 10 years of experience. I specialize in clean delivery of complicated analysis, workflow automation, applied machine learning, and causal inference. Experienced in navigating complex policy and regulatory environments across large enterprises, research organizations, and lean startups.
Experience
Held during PhD program
Conduct research on workforce trends as part of a team of economists. Leverage public and proprietary data to answer policy and business questions (e.g., designing workforce development programs) for clients. Provide subject matter expertise on research design, statistics, causal inference, and ML. Build user-facing dashboards and other visual outputs.
Automated analysis across dozens of enterprise risks using Python, SQL, and AWS, reducing preparation time and shortening regulatory filings by weeks. Built interactive tools for risk scenarios, program effectiveness, causal analysis, and senior-stakeholder communication; performed PG&E's first causal analysis of wildfire prevention programs. Promoted from Data Science Intern.
Combined causal inference techniques (geo discontinuity, SynthDiD) with re-weighted customer survey data (MrP) to plan product expansion (R + Python). Analyzed dataset with thousands of user survey responses and millions of rides generated by in-app customer behavior. Executed several natural experiments to identify previously unseen business opportunities.
Co-authored 4 policy reports on D.C. health workforce access and disparities. Combined ACS data, FOIA records, and original geocoding to produce first publicly available analysis of D.C.'s health workforce.
Evaluated California health program effectiveness using difference-in-differences methodology.
Wrote production code to enhance customer data. Conducted UX research using ML to improve contract detail prediction and linkages across millions of contracts. Improved web application experience for BGOV and Bloomberg Terminal products. Assisted company-wide cloud migration.
Led multi-analyst team executing a multi-million dollar flagship research product for Fortune 500 clients. Delivered market and marketing analyses using MaxDiff, conjoint, complex survey weighting, R, and Qualtrics across 100+ client engagements. Promoted from Research Analyst.
Conducted quantitative and qualitative research for grant-funded projects on health workforce shortage, regional disparities, pilot program evaluation, and forecasting (primarily R). Co-authored 4 policy reports including statewide physician workforce analysis for the California Health Care Foundation. Coordinated large, state-funded evaluation programs and other projects.