Credit Card Fraud Detection
Trained a binary classifier on 284,807 transactions using Python, scikit-learn, Pandas, and SMOTE, achieving 85% accuracy. Reduced false positives by 15% through SMOTE resampling and GridSearchCV tuning, with a final fraud-class F1-score of 0.88.