Senior Data Scientist
Synovus
Current
- Designed, implemented, and deployed end-to-end predictive cross-sell models using Python, driving $55M in new account balances by enabling targeted marketing campaigns.
- Developed and implemented a Python and Databricks-based retention model to predict customer attrition, enabling targeted interventions that improved retention and customer lifetime value.
- Built data pipelines to provide accurate, timely insights for marketing campaign reporting.
- Implemented continuous ML model monitoring in partnership with Model Risk Management, leveraging PSI to detect early degradation and ensure consistent business outcomes.
- Led migration of ML models to Databricks, enhancing scalability, performance, and maintainability.
- Developed long-term strategies and plans for improving existing information processing and delivery capabilities as they pertain to analytics, data science, predictive modeling, insight generation, and reporting.