Reducing Hospital Readmissions through Predictive Modeling 2
A case study on using predictive analytics to identify high-risk patients and enable proactive care decisions.
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Customer Segmentation Analysis through RFM & Machine Learning
Executive Summary Industry: E-commerce Retail Business Problem: Rising customer acquisition costs and undifferentiated marketing spend limited retention, personalization, and customer lifetime value (CLV) growth. Objective: Identify distinct customer segments based on purchasing behavior to enable targeted marketing, retention, and growth strategies. Data and Methods: 12 months of transaction data (UCI Online Retail II dataset) analyzed
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