Data Scientist- Artificial Intelligence
Current• Spearheaded the discovery and implementation of new features resulting in a notable 5% increase in fraud capture for fraud engine,showcasing a keen ability to identify and leverage critical data points.• Designed and implemented a comprehensive scorecard system to monitor and evaluate diverse machine learning model performances across various parameters, providing stakeholders with detailed insights into model efficiency.• Integrated PowerBI for data visualization and reporting, improving stakeholder understanding and decision-making by presenting complex model performance data in a clear and accessible format.• Applied advanced analytical techniquesto identify, analyze, and leverage key features contributing to fraudulent transactions,showcasing a deep understanding of fraud patterns and effective countermeasures.• Implemented robuststrategiesfor the detection and prevention ofCardBIN attacks, a significant threat in the fin tech domain.• Introduced a Fraud Scorecard to evaluate the company's AI-based fraud prevention model, aiding the salesteam in on boarding of over 5 clients, including a prominent credit client.
