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Employee Churn Prediction & Risk Analysis
This project focuses on predicting employee churn, the likelihood of employees leaving the company. Employee attrition leads to costly recruitment, productivity loss, and weakened team morale. Using HR data (~15,000 employees), I developed a machine learning model that identifies at-risk employees and provides actionable insights to guide retention strategies. The goal: enable HR teams to…
Customer Lifetime Value Prediction – Retail
This project focuses on predicting Customer Lifetime Value (CLV) for a retail company, a critical metric that estimates the total revenue a customer is expected to generate over their relationship with the business. By analyzing historical transaction data, the project aims to identify customer behavior patterns, segment customers based on their value, and enable data-driven…