This Power BI dashboard analyzes 255,347 loan records to segment them into risk categories. It uses DAX and Excel to identify patterns in credit scores, income, age, and employment, visualizing default trends and supporting data-driven lending decisions.
From the README
💳📊 Credit Risk Segmentation Dashboard 💳📊 An interactive Power BI dashboard designed to segment loan records by risk category and surface the drivers behind loan defaults for data-driven lending decisions. 📌 Project Overview This project analyzes loan default data using Power BI, DAX, and Excel to identify risk patterns across credit score, income, age, and employment categories. The project analyzes 255,347 loan records, segmented into risk-ready categories using custom DAX measures. The analysis focuses on building KPI-driven risk segmentation, visualizing default patterns across multiple dimensions, and surfacing year-over-year trends to support lending decisions. 🎯 Project...
