[ TRACK // PROFESSIONAL & WORK PORTFOLIO ]ID: sgf2-ai-project
SGF² AI — Algorithmic Fairness & SHAP Auditing
Complete ML pipeline that exposes algorithmic biases. A 90% Accuracy is not enough: through Demographic Parity and SHAP analysis, the project demonstrates how models actively discriminate by gender and ethnicity.
Pythonscikit-learnpandasUniversity
FIG: SGF² AI Fairness Analysis
Explainable AI & Bias Auditing
Predictive models can reach high accuracy while quietly learning historical demographic biases. This project analyzes Demographic Parity and Equal Opportunity gaps on XGBoost and Random Forest models using SHAP value explanations.