At Sun King, I designed an A/B experiment to re-engage non-paying customers and built Airflow workflows to automate treatment assignments, lead generation, and incentive calculations. I also ran a phone customer audit pilot with the Risk team and developed KPIs that achieved over 80% fraud detection precision.
Previously, as an Analyst at Sun King, I used Python statistical analysis to consolidate contradictory performance KPIs into core early-signal metrics. I also delivered root-cause analyses with SQL and Looker and implemented a SARIMA forecasting model across eight markets.
