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A multi-page Power BI dashboard built for a loan portfolio dataset (5,000+ records). Includes deep analysis of loan status, risk segmentation, borrower traits, and repayment patterns using custom DAX and Power Query transformations.

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MrPrince419/loan-portfolio-dashboard

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Loan Portfolio Dashboard

Loan Portfolio Dashboard Overview

🚀 Project Summary

The Loan Portfolio Dashboard is a multi-page Power BI report designed to help financial institutions analyze, monitor, and optimize their loan portfolios. This project demonstrates my data analysis, visualization, and storytelling skills by transforming raw lending data into actionable business insights.


📂 Data & Tools


🛠️ Methodology

1. Data Cleaning & ETL

  • Removed blanks, standardized formats, and resolved data type mismatches in Power Query.
  • Created analysis-ready columns for robust reporting.

2. Data Modeling

  • Built a star schema with a central fact table (Loan_ID) and dimension tables (e.g., Term, Home_Ownership).
  • Defined relationships for accurate cross-filtering and interactivity.

3. DAX Measures

  • Developed custom metrics: Total Applications, Fully Paid Rate, Charged Off Rate, Average Interest Rate, Average DTI, and more.
  • Segmented metrics for risk, repayment, and borrower profiles.

📊 Dashboard Pages & Visuals

1. Portfolio Overview

Portfolio Overview

  • Disbursement trends, employment analysis, and time series insights.

2. Risk & Performance

Risk & Performance

  • High vs. low-risk breakdown, interest rate, income, and state-wise lending.

3. Loan Status Distribution

Loan Status Distribution

  • Analysis of repaid, outstanding, and charged-off loans.

4. Borrower Profile Analysis

Borrower Traits

  • Home ownership, verification status, and term-based default behavior.

5. Executive Summary

Key Takeaways

  • Strategic recommendations and business actions.

💡 Key Features

  • Interactive Visuals: Dynamic filters by term, status, and borrower traits; drillable bar and pie charts.
  • Custom Design Theme: Consistent layout, color palette, and data-label formatting for professional readability.
  • Strategic Recommendation Boxes: Actionable insights for business users on every page.

📈 Insights & Outcomes

  • 71.8% of loans fully paid; 13.7% charged off.
  • Long-term (60-month) loans show higher default counts.
  • Verification and home ownership have subtle but notable impacts.
  • Charged-off borrowers received $13.7M but repaid only $4.2M—highlighting loss risk.
  • High account count correlates with increased risk.

🧩 Challenges & Solutions

  • Ensured precise alignment between visuals and KPIs.
  • Maintained consistent navigation and minimal clutter.
  • Focused on usability and business value throughout the design.

🖥️ How to Use

  1. Download the Loan Portfolio Dashboard.pbix file.
  2. Open with Power BI Desktop.

📬 Contact

Reach out via LinkedIn Email


Thank you for viewing my portfolio project!


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A multi-page Power BI dashboard built for a loan portfolio dataset (5,000+ records). Includes deep analysis of loan status, risk segmentation, borrower traits, and repayment patterns using custom DAX and Power Query transformations.

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