At Quicken Inc., I designed a controlled A/B test to investigate anomalies in promotional workflows. The analysis helped reduce annual revenue leakage by 78% and informed a product redesign strategy.
I defined product success metrics and measurement frameworks with Product, Core Engineering, Ops, and Data Engineering. I also developed an LLM-enabled workflow with Claude Code to draft, refine, and validate SQL, supporting a canonical dataset and semantic model for connection success.
At Quicken, I analyzed Simplifi's onboarding funnel and found a 29-percentage-point completion gap between Android and Web. The findings highlighted Bills and Income editing as important activation behaviors and informed product prioritization.
At Pricewaterhouse Coopers (PwC), I partnered with a cross-functional team to resolve client data quality issues and rebuild KPI definitions and reporting in SQL and Tableau, unlocking $250K in additional revenue. In my Data Analysis Projects, I built an agentic AI workflow for customer feedback and an AI-powered analytical platform using Claude, FastAPI, and React.
