https://github.com/shubhamgoyal575/bank-loan-analysis
Power BI is used for visualizing key insights, trends, and performance metrics, while SQL is employed to manage and query the data efficiently.
https://github.com/shubhamgoyal575/bank-loan-analysis
banking bankloan dashboard financial-analysis mysql mysqlworkbench power-query powerbi powerquery visualization
Last synced: 7 months ago
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Power BI is used for visualizing key insights, trends, and performance metrics, while SQL is employed to manage and query the data efficiently.
- Host: GitHub
- URL: https://github.com/shubhamgoyal575/bank-loan-analysis
- Owner: shubhamgoyal575
- Created: 2025-04-12T16:45:31.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-04-12T16:52:41.000Z (7 months ago)
- Last Synced: 2025-04-12T17:41:20.185Z (7 months ago)
- Topics: banking, bankloan, dashboard, financial-analysis, mysql, mysqlworkbench, power-query, powerbi, powerquery, visualization
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📊 Bank Loan Analysis Dashboard
This project focuses on analyzing bank loan data to uncover key financial insights using SQL for data extraction and Power BI for interactive data visualization.
## 🔍 Project Overview
The dashboard provides a comprehensive view of loan performance, categorizing applications into good and bad loans, and breaking down metrics across various dimensions like month, term, state, purpose, and employee length.
## 🛠 Tools & Technologies
SQL (MySQL) – Data querying, filtering, and aggregation
Power BI – Dashboard creation and data visualization
Data Source – Bank loan dataset containing application details, status, financial metrics, and demographics
## 📈 Key Features & KPIs
**Total Loan Applications:** 38.58K
**Total Funded Amount:** $435.76M
**Total Payment Received:** $473.07M
**Average Interest Rate:** 12.05%
**Average Debt-to-Income Ratio:** 13.33%
**Good Loan Percentage:** 86.18%
**Bad Loan Percentage:** 13.82%
## 🧩 Insights Covered
Month-wise loan distribution and trends
Term-wise (36 vs 60 months) loan comparison
Purpose and state-wise loan analysis
Good vs bad loan segmentation based on repayment status
Dynamic filters for loan grade, purpose, state, and status
## 📊 Dashboard Highlights
MTD vs PMTD performance with MoM % changes
Drilldowns by loan status, term, and ownership
Visual representation of funded vs received amounts
Segmentation of loans by employee length and purpose