Welcome to the Bank Loan Data Analysis project! This repository focuses on analyzing banking loan data to uncover valuable insights that can drive informed decision-making. Through the exploration of key metrics and trends, the project aims to assess loan portfolio performance, evaluate financial health, and optimize lending strategies.
- Breakdown of loan application trends: Total numbers, monthly trends, and variations.
- Evaluation of funded loan amounts: Overall and segmented by time periods (MTD/PMTD).
- Assessment of repayment performance: Payments received and cash flow insights.
- Insights into interest rates and DTI ratios: Risk analysis and lending practices.
- Analysis of loan health: Differentiation between good loans (fully paid/current) and bad loans (charged off).
- Comprehensive loan status breakdown: Applications, funding, and repayments by category.
- Monthly trends in lending and repayment.
- State-wise performance insights.
- Demographic analysis: Employment length, home ownership, and purpose of loans.
This project aims to:
- Refine loan approval and funding strategies based on performance data.
- Identify high-risk demographics or regions for targeted intervention.
- Optimize lending policies to balance risk and profitability.
- Enhance monitoring of loan repayment trends and financial health.
- Actionable insights into improving loan approval and management processes.
- Deeper understanding of borrower characteristics influencing loan performance.
- Strategic recommendations for improving overall portfolio health.
Domain Knowledge/: Background information on the banking and financial domain.Problem Statement/: Gives the problem statement what we need to solve with sqlSQL file/: SQL queries and scripts used for data extraction and analysis.data set/: Raw and processed datasets used in the analysis.README.md: Project overview and documentation (this file).
Thank you for visiting this project! If you have any questions, suggestions, or just want to connect, feel free to reach out:
- GitHub: Your GitHub Profile
- LinkedIn: Your LinkedIn Profile
- PowerBi: Your Powerbi Profile
I appreciate your interest and time spent exploring this project. Your feedback is invaluable to me!
Thank you for checking out this project! I hope you find it insightful and helpful. Stay tuned for more updates, and don't hesitate to connect with me. Happy coding!