DATA ENGINEERING/ANALYSIS
Superuser Churn in Stack Overflow
Built ETL pipelines using Python and Shell scripts to warehouse over 90GB of Stack Overflow user data in BigQuery. Calculated six-month rolling averages for all ~22K superusers using BigQuery SQL and used an exponential decay model to find superusers who are at risk of churning
