Kwame Akomeah

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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Reducing Hospital Readmissions through Predictive Modeling

Executive Summary Industry: Health Analytics Business Problem: 30-Day Hospital readmissions increase operational costs, strain resources, and negatively impact patient outcomes and reimbursement under value-based care models.   Objectives: Identify patients at high risk of readmission early and provide proactive intervention strategies before discharge. Data and Method: New York SPARCS inpatient discharge data analyzed using SQL for data

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