mkhabele-ef/sa-credit-risk-dashboard

A credit risk analysis dashboard built with Python and Power BI, simulating realistic South African consumer credit profiles. # 💳 SA Credit Risk Dashboard A end-to-end data analytics project simulating realistic South African consumer credit profiles, built using Python and Power BI. ## 🎯 Why this project Banks in South Africa need to assess credit risk accurately to make lending decisions. This project simulates that process - from raw data generation to an interactive executive dashboard. ## 🛠️ Tools Used - Python (pandas, numpy, matplotlib, seaborn, scikit-learn) - Power BI Desktop - GitHub ## 📊 Dashboard Preview ## 🔍 Key Insights - **Eastern Cape** shows the highest credit default rate per province - **Employment status** has minimal impact on default rate - suggesting income level is a stronger predictor - Loan amount and income show no strong linear relationship with default risk ## 👤 Author Ehleketani Mkhabele — BSc Human Physiology, Genetics & Psychology (University of Pretoria)