Data Scientist
Current- Engineered SQL Server database for efficient client transaction tracking and analysis.
- Analyzed data to uncover key factors and patterns driving churn.
- Developed and deployed ML models in Python to predict churn.
- Created a streamlined database to facilitate predictive analysis.
- Provided actionable insights for strategic retention initiatives.