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Machine Learning Developer
Self-Employed / Freelancer • Freelance
Sep 2025 - Present • 1 yr 2 mos
Built an end-to-end fraud detection pipeline using XGBoost to classify fraudulent financial transactions on imbalanced datasets. Performed feature engineering, data preprocessing, and class-imbalance handling to improve model reliability on rare-event detection. Tuned model hyperparameters and evaluated performance using precision, recall, and AUC-ROC metrics. Delivered a reproducible ML pipeline as part of a structured industry-academia internship program.