Credit Risk Analysis of loan data using public datasets
Credit Risk Analysis (Exploratory Project) This is an independent analytical project based on a public dataset of over 32,000 loan applications. The goal was to identify key factors associated with credit default risk using statistical methods.
📌 Key aspects:
Used descriptive analysis and group segmentation (DTI, loan grade, income)
Identified high-risk borrower profiles and recommended basic policy adjustments
Report available as PDF in the repository
🛠Tools used: Excel | Data visualization