At Quicken Inc., I designed a controlled A/B test on promotional pricing abuse and developed statistical evaluation frameworks that measured causal impact. The analysis showed a 78% reduction in annual revenue leakage and helped align product and data science partners on a redesign strategy.
I also analyzed pricing strategy through weekly cohorts tracking churn, refunds, and payment failures. The findings showed a 2% churn increase below the decision threshold, enabling leadership to proceed with confidence.
For Simplifi, I analyzed the onboarding funnel and found 67.5% completion, with a 29 percentage-point gap between Android and Web. I identified Bills and Income editing as the highest-impact activation behavior, informing product priorities and early retention strategy.
At Pricewaterhouse Coopers (PwC), I worked with a cross-functional analyst team to rebuild KPI definitions and reporting flows in SQL and Tableau, unlocking $250K in additional revenue. In my ongoing data analysis projects, I develop LLM-assisted workflows and an agentic finance education platform using Claude, FastAPI, SQLite, and React.
