Financial
- For a leading financial institute, We created complete EDA and ML modeling in order to predict customer churn.
- Also determined the customer life cycle value based on the institute's customer dataset.
- Did RFM (Recency, Frequency, Monetary) analysis for customer segmentation of the customers in order to target the customers of various segments with various strategies that improved overall customer satisfaction and can reduce customer churn.
