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Predictive modeling for noncontact injuries in football
LinkedIn • Freelance
Aug 2025 - Mar 2026 • 7 mos
Built a machine learning system to predict non-contact injuries in professional football players. The system processed player health records, training schedules, GPS workload data, and performance metrics to generate real-time injury risk scores for coaches and medical staff. Developed the full pipeline — data ingestion, preprocessing, model training (XGBoost, Random Forest), and a decision support dashboard — enabling training load adjustments and injury prevention planning.