SELECTED WORK / CASE STUDY
Customer Analytics & Segmentation
Comprehensive CRM analytics with customer segmentation, lifetime value prediction, and churn analysis
Project Overview
Developed an end-to-end customer analytics solution for CRM optimization, combining unsupervised learning for customer segmentation with supervised models for CLV prediction and churn analysis. The project provides actionable insights for customer retention strategies.
Technologies Used
Python
Pandas
Scikit-learn
Matplotlib
NumPy
KMeans Clustering
Hierarchical Clustering
GMM Segmentation
XGBoost
Logistic Regression
Random Forest
Tableau
CRM Analytics Dashboards
Dashboard 1: Customer Overview
Dashboard 2: Customer Segmentation
Dashboard 3: Customer Lifetime Value
Dashboard 4: Churn Analysis
