Financing loans can be a risky business for financial institutions.
Assessing a borrower's ability to repay (creditworthiness) is crucial to minimizing loan defaults and ensuring financial stability.
This project aims to leverage Exploratory Data Analysis (EDA) to uncover hidden patterns within client data that can inform loan risk assessment for a finance company.
Work-flow
Dashboard
Future Scopes
ML-powered Credit Scoring: Leverage machine learning to create a comprehensive credit score incorporating a wider range of factors influencing financial health and creditworthiness.
Automating Loan Risk Assessment with Machine Learning: Utilizing machine learning models to automate loan risk assessment, considering many factors beyond traditional credit scores. This enables a more holistic and data-driven approach to risk evaluation.
Personalized Loan Recommendations with AI: By analyzing individual financial situations, AI-powered recommendations ensure personalized loan offers that best suit each customer's needs and risk profile. This fosters responsible lending and improves loan satisfaction.
