Football Match Outcome Prediction System (Python, Machine Learning, Power BI) Developed a supervised machine learning system to predict football match outcomes (Win/Draw/Loss) using historical team and player performance data. Implemented feature engineering and evaluated multiple algorithms to determine the most accurate predictors of match results. Enhanced sports analytics through interactive dashboards and trend visualizations. Gathered and managed match and player datasets using SQL and open football data sources. Trained and optimized models including Logistic Regression, Random Forest, and XGBoost. Designed Power BI dashboards to visualize predictions, accuracy metrics, and performance insights.