San Francisco, California, United States
Led a 30‑person analytics and data science organization, developing future data leaders and driving AI‑powered transformation. Elevated craft by establishing playbooks and coaching the team in analytical rigor, business framing, and polished communication. Adopted a player-coach role to unblock critical work. Increased analyst and scientist throughput by building multi‑step AI agents that automated question intake, SQL generation, analysis, validation, and data storytelling. Designed scalable compensation and referral payout systems that aligned incentives and supported rapid growth in Sales and Account Management.
IC role, conducted cross‑company analytical research projects. Presented findings to Square CEO and other executives biweekly. Identified adoption as a new lifecycle stage beyond conversion and uncovered the five‑payments magic moment, shifting GRM and lifecycle marketing strategy towards this new milestone. Mapped the complex web of signup and conversion paths, revealing lane‑jumping behavior and influencing Product to create a unified golden path onboarding flow. Built a “localness” metric framework adopted by design, marketing, and field sales teams. The framework was used to identify cities, neighborhoods, and merchants for marketing campaigns and blitzes.
Started as a ML lead, then scaled up to a 40+ person analytics organization responsible for marketing ML, growth/retention operations and lifecycle data science. Guided the team through severe industry disruptions (COVID, walled‑garden), stabilizing LTV, marketing attribution, and ROI measurement for tens of millions in annual spend. Guided the design and creation of a ML‑powered Account Manager workflow and pipeline management tool that transformed AM operations and improved seller engagement and retention. Oversaw the creation of an Account Management incrementality measurement framework used to inform organizational headcount investments.
Day to day support for electronic medical record applications on several medium to large sized hospital systems across the US. Performed maintenance and analytics on patient databases with queries and scripts. Supported the implementation of web medical record applications.
Intern at the DOJ - Bureau of Justice Statistics: Analyze and verify data regarding the correctional population of the United States. (Excel) Updating and maintaining the accuracy of databases Co-develop new imputation/adjustment method for missing data (SAS, SPSS, Excel) Co-writing BJS report to be released to the public as bulletin