Data Scientist and analytics professional dedicated to advancing healthcare data integrity and fraud detection through the application of machine learning and predictive modelling. Combines deep expertise in ensemble algorithms, anomaly detection, and health informatics to help organisations eliminate financial misappropriation, strengthen oversight systems, and build scalable data-driven solutions. Across multiple engagements spanning enterprise analytics, public health programs, and academic research, has delivered measurable recoveries in misappropriated funds, improved anomaly detection accuracy, and advanced data equity for underserved populations.