I built a customer churn analysis pipeline that cleaned 51,831 account records, identified onboarding gaps as a strong sign of churn, and scored active accounts for risk. My Tableau dashboard showed where churn costs the most and which accounts to act on first.
At Applause, I cut a client's data rejection rate from about 50% to 30% and built a tool that reduced each data collection from 15 minutes to 2. At Meta, I corrected 12,000+ database records in SQL and automated collection setup with a shell script.
