RAHUL JAMSANDEKAR 21122049

At HSBC, I redesign credit-bureau ETL pipelines and automate lending decision workflows for personal loans, cards, credit-limit management, and home loans.

I've led three analysts to improve credit-risk data extraction, transformation, exception handling, and validation, reducing lending-decision turnaround time by 40%. I also implemented parallel processing for multi-applicant and multi-bureau transactions, cutting turnaround time by 35%.

I build in-house bureau connectivity solutions using Python and SQL, and delivered a Python and Streamlit underwriter dashboard that generates automated credit-report presentation screens.

Previously, as an Analyst Intern at HSBC, I used Provenir's AI-based platform to tailor decisioning logic and build automated workflows for UK commercial lending strategy. My work combines data quality, governance, banking risk management, and scalable automation.