Strategy & Execution
Engineering clarity from ambiguity: Leading the evolution of data functions from early-stage startups to rapid-scale environments.
Cambly•2025
30% increase in paid trial purchases
To align engineering and product roadmaps, I architected a 5-stage conversion funnel analysis (Signup → Tutor Search → Trial Purchase → Trial Booking → Conversion). Leveraging observational data while correcting for omitted variable bias through historical experiment benchmarking, I modeled the expected returns of various interventions. My analysis identified the Tutor Search Page and Search Ranking Algorithm as the highest-leverage opportunities for driving profitability.
PythonDBTBigQueryAlgoliaMongoDB
Retool•2023
$500K+ savings per year from reduction in compute costs
Upon joining Retool, I inherited a legacy data infrastructure built for speed but not for scale, resulting in fragmented metrics, high maintenance overhead, and escalating warehouse costs. I led a 0→1 overhaul of the data warehouse architecture, moving from an ad-hoc pipeline to a modular, reporting-first framework. My strategy focused on three pillars: Usability, by creating a robust reporting layer tied to core company KPIs; Performance, by modularizing code to eliminate redundant compute; and Reliability, by implementing standardized data testing and quality protocols.
DBTBigQuery