Hi, I’m Ian.
I’m a data scientist and PhD economist based in Los Angeles. For the past five years I built production machine learning and AI systems at ServiceTitan (NASDAQ: TTAN), where my work ran the full arc of modern data science: churn and customer-health models scoring ~14,000 accounts weekly, forecasting that drove staffing decisions, MILP optimizers that rebalanced $26M+ in customer portfolios, and, increasingly, agentic AI. That last chapter included a config-driven GenAI platform running 10+ daily production pipelines, an LLM-as-judge evaluation system that measured our chatbot’s true accuracy and hallucination rate, and autonomous agents that write and execute their own data-transformation code.
Before industry, I was an economist twice over: at the Internal Revenue Service, valuing intangible property in Fortune 500 transfer-pricing examinations, and at Welch Consulting, where statistical analysis helped defend employment class actions. I hold a PhD in economics from the University of California, Irvine, where my research examined the political economy of coerced labor.
I’m currently exploring senior data science and machine learning roles. If my background fits a problem you’re working on, I’d love to hear from you at ian.patrick.finn@gmail.com, or find me on LinkedIn and GitHub.
When I’m away from the keyboard I enjoy hanging 5 at San Onofre (working on 10!), ice hockey, climbing mountains and international travel.
All models are wrong, but some are useful.