Bank Customer Churn EDA and Prediction Part 1
Predicting Churn, Securing Loyalty: Modeling Bank Customer Retention.
Estevan Fisk is a highly accomplished Data Scientist with a Master’s in Statistics and over a decade of experience transforming complex data into significant business value. An expert in predictive modeling, NLP, and advanced analytics, he has a proven track record of driving process optimization (up to 50% reduction in effort) and delivering actionable insights that resulted in major cost savings and profitability increases (e.g., 85% accurate propensity model). He excels at full-lifecycle model deployment, large-scale data engineering (Python/PySpark/SQL), and communicating complex findings to non-technical stakeholders.
MS Statistics
California State University, Fullerton
BA Business Economics
University of California, Riverside
Predicting Churn, Securing Loyalty: Modeling Bank Customer Retention.