Credit Risk Profiling

Engineered a groundbreaking credit risk profiling system, utilizing machine learning classification algorithms. Unlike conventional credit systems, this innovative solution went beyond traditional credit data, incorporating customer behavior, personality, and other nuanced factors. The result was a comprehensive profiling tool that provided lenders and borrowers with a holistic assessment. Additionally, developed a Financial Advisor model using Large Language Models (LLMs) to empower customers in making informed borrowing decisions, ensuring a proactive approach to responsible lending behavior.