Project: Credit Risk Analysis
The project focused on analyzing credit risk in a peer-to-peer lending platform using historical loan data from 2007 to 2014. In response to the post-crisis surge in loan applications, using Power BI explores loan records and identifies behavioral patterns that distinguish good loans from bad ones based on credit profile, debt management pattern, financial capability and loan structure. The goal was to provide data-driven insights and recommendations to help reduce default risk and improve lending strategies through better borrower segmentation and risk monitoring.
Skills Applied:
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Define credit risk objectives & metrics (default rate, recovery rate, credit grade) to evaluate loan portfolio quality.
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Connect, clean & transform large loan datasets for accurate risk analysis.
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Analyze & visualize borrower risk patterns in Power BI by credit profile, DTI, term, interest rate, and income.
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Publish interactive dashboards for risk teams to monitor and act on emerging issues.
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Create presentation slides & apply storytelling to communicate findings and recommendations effectively.
Nâng tầm phân tích – Kết nối dữ liệu – Dẫn đầu quyết định
Khóa học “Master Analytical Thinking & Data Analysis with Power BI” tại MazHocData mang đến tư duy phân tích và kỹ năng Power BI thực chiến, sẵn sàng ứng dụng vào doanh nghiệp thực tế.
Khám phá Power BI thực chiến cùng MazHocData: mazhocdata.com/power-bi