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Report Author: Yash Wagh
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This Credit Risk Assessment Power BI Dashboard helps users assess credit exposure, analyze borrower risk, and review loan portfolio trends in Power BI.
This Power BI report uses the Credit Bank Risk Dataset and features ZoomCharts Drill Down PRO custom visuals for Power BI. It was submitted to the Onyx Data DataDNA ZoomCharts Mini Challenge in September 2025.
Author's Description:
This report provides a comprehensive analysis of credit risk across loan applicants, highlighting the key factors influencing default probability and financial stress. It covers applicant demographics, loan distribution by grade, income levels, education, employment type, and home ownership. The analysis further explores risk groups based on Debt-to-Income Ratio and Credit Utilization Ratio, uncovering patterns that contribute to higher default rates. By segmenting applicants across loan terms, geography, and borrower profiles, the report identifies high-risk categories and offers insights to help stakeholders in the financial sector optimize lending strategies and minimize default exposure. Designed in Power BI, the dashboard is interactive, easy to navigate, and built to support data-driven decision-making for credit risk management.
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