Developed and deployed a web-based analytical tool using Python3, JavaScript, and Tornado, serving over 500 users. This tool significantly improved real-time analytics and streamlined data processing for risk assessment models.

Led a team of 15 to deliver four key projects focused on report automation and enhanced dashboard functionalities. Developed APIs to identify and highlight critical insights for senior risk management, improving decision-making processes.

Automated the dispatch of 10,000+ reminder emails annually through a Python-based job, significantly reducing manual tasks and enhancing operational efficiency.

Implemented key performance metrics in a centralized analytics application to identify and address underperforming models. Utilized heat map analysis for effective feature selection, leading to more accurate and robust model performance evaluations.