Welcome!

My name is Igor. I am a data scientist and policy analyst working in the energy sector—and a quantitative social scientist by training.

Currently, I am on leave from UCLA while I work with the Enterprise Operational Risk Management team at Pacific Gas & Electric (PG&E) as a data science intern building tools for automating risk assessment and analysis. In my spare time, I manage a voter information initiative called the Voter Guide Project (UCLA VGP); check out the guides we published for the 2024 November election. 

My analytical experience specializes in managing big datasets, computing across a variety of programming languages (R, Python, SQL, etc.), and rigorous statistical analysis in in complex settings. This includes flagging and correcting existing product deficiencies in customer-facing web platforms, assessing and advising on policy opportunities for state agencies and research-based nonprofits, agility across business functions and analytical use cases, and maintaining a dedication to clear, well-documented, and efficient processes.

My recent research:

I've also co-authored a book chapter providing a descriptive overview of the nation's local election officials/county clerks.

My teaching mostly focuses on American politics (especially state/local institutions), and statistical methods for political science research, with a particular focus on equipping current college students with empirical skills and careful, research-driven critical thinking skills.

Please click here for an updated version of my CV: link. Need to get in touch? igorgeyn at gmail dot com.

Click here to go straight to my published work. You can also use the following links for more specific navigation:

Health Workforce Work | Teaching experience and notes