Midhran MN

Focused on building Delinquency ML models in the banking sector, emphasizing analysis of rejected customers for potential approval. Expertise extends to Credit Risk modeling, ensuring minimal impact on approved customers while maximizing business stability through integrated Delinquency and Credit Risk models. Engaged in API support, swiftly addressing and resolving customer-reported issues during testing phases. Implementing immediate action to ensure seamless functionality and customer satisfaction. Leverage Azure for project management with dedicated branches for each project, and deploy via Putty for seamless integration into live applications, enabling real-time model execution. Developed web pages with pagination functionality using MySQL server integration, displaying data in grid format. Implemented dynamic data retrieval to optimize performance. Skilled in Python, Streamlit and Visual Studio.

Automated Python trigger extracts MySQL data, updates files daily, and formats as required, contributing to streamlined financial reporting processes. Cleansed and sorted 500,000 customer records from 2006, reducing dataset by 110,000 entries, ensuring accuracy and efficiency. Utilized Python and MySQL to generate comprehensive reports on customer behavior, regional sales, and overall performance, combining and sorting data for insightful analysis and informed decision-making.

Spearheaded R&D initiatives in designing Induction Hardening Machines, specializing in the induction component, fostering detailed customer engagement to develop bespoke models. Ensured seamless product delivery meeting customer specifications, while optimizing performance through iterative design updates based on user feedback. Conducted thorough data analysis and generated comprehensive reports, overseeing the project lifecycle from client interaction to product deployment. Proficient in SolidWorks, DraftSight, Word, and Excel for effective R&D project management.