• 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.

• Troubleshooting of Huawei onts, and coordination with customers to ensure quality services.• Troubleshooting on juniper routers, device status verification through NCE and CRM. • Escalation of customer issues to reduce service downtime.• Automated ont red issue resulted in reduction of cost price per customer.

Rotated in different areas of FFBL UREA and DAP production plant Port Qasim Karachi. Closely analyzed and acquainted with the working style of fertilizer industry and reporting directly to the senior executive (electrical maintenance) on regular basis. Key achievement Proposed idea of dc braking in sew (1 KW) motor to increase production and reduce maintenance cost of motors used for sewing machine installed in (PH&S) product handling and shipment area.