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https://github.com/bhushan148/bank-loan-report-dashboard-excel
https://github.com/bhushan148/bank-loan-report-dashboard-excel
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- Host: GitHub
- URL: https://github.com/bhushan148/bank-loan-report-dashboard-excel
- Owner: Bhushan148
- Created: 2024-07-31T11:40:40.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-07-31T11:45:49.000Z (5 months ago)
- Last Synced: 2024-07-31T12:58:56.638Z (5 months ago)
- Size: 9.45 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🏦 Bank Loan Report Dashboard
## 📂 Dataset
Access the dataset used for this project in CSV format here: [Dataset CSV File](https://github.com/Bhushan148/Bank-Loan-Report-Dashboard-Excel/blob/main/Dataset.csv)
---
## 📊 Project Overview
The **Bank Loan Report Dashboard** is an Excel-based project inspired by a YouTube tutorial. It automates the analysis and visualization of a bank’s loan portfolio, providing critical insights into various loan metrics. This dashboard empowers decision-makers with real-time data and in-depth analysis.
---
## 🎯 Objective
The primary goal of this project is to design a user-friendly, automated dashboard that offers a comprehensive view of the bank's loan operations, including:
- **Total Loan Applications**
- **Funded Amounts**
- **Repayments**
- **Interest Rates**
- **Borrower Risk Profiles**
---
## 🖥️ Dashboard 1: Summary
### Key Metrics:
- **Total Loan Applications**:
- 📈 Displays the number of loan applications.
- 📊 Includes Month-to-Date (MTD) and Month-over-Month (MoM) trends.
- **Total Funded Amount**:
- 💵 Shows the total amount of funds disbursed.
- 🔄 Analyzes MTD and MoM changes to monitor funding trends.
- **Total Amount Received**:
- 💰 Displays total repayments from borrowers.
- 📅 Includes MTD and MoM analysis to assess repayment patterns.
- **Average Interest Rate**:
- 📉 Calculates the average interest rate across all loans.
- 📆 Tracks MTD and MoM changes to understand interest rate trends.
- **Average Debt-to-Income Ratio (DTI)**:
- 📊 Measures the average DTI ratio, reflecting borrower financial health.
- 🔢 Includes MTD and MoM tracking to monitor borrower risk profiles.
- **Good Loan vs. Bad Loan KPIs**:
- **Good Loan**:
- ✅ Displays percentage and count of 'Good Loans.'
- 📈 Includes metrics like funded amount and total received amount for good loans.
- **Bad Loan**:
- ❌ Shows percentage and count of 'Bad Loans.'
- 📉 Includes metrics like funded amount and total received amount for bad loans.
- **Loan Status Grid View**:
- 📋 Overview by Loan Status: Provides a grid view breaking down key metrics by loan statuses such as Active, Closed, or Defaulted.
---
## 🧩 Dashboard 2: Overview
### Key Metrics:
- **Monthly Trends by Issue Date**:
- 📅 Analyzes loan issuance over time to identify seasonal and long-term lending trends.
- **Regional Analysis by State**:
- 🌍 Examines lending activity across states, highlighting regional performance and disparities.
- **Loan Term Analysis**:
- 🕒 Breaks down loans by their terms (short-term, medium-term, long-term), offering insights into borrower preferences and risk.
- **Employee Length Analysis**:
- 🧑💼 Investigates how the length of borrowers' employment affects loan approval, funding, and repayment metrics.
- **Loan Purpose Breakdown**:
- 🎯 Analyzes metrics based on loan purposes (e.g., education, home improvement, debt consolidation).
- **Home Ownership Analysis**:
- 🏠 Assesses the impact of home ownership status on loan application success, interest rates, and repayment performance.
---
## ⚙️ Implementation Details
### Data Importation:
- 📥 Import the dataset into Excel.
- 🧹 Ensure the dataset is cleaned and formatted correctly, with all necessary columns available for analysis.
### Data Analysis:
- 📊 Utilize Excel formulas and PivotTables to calculate KPIs and create visualizations.
- 🔄 Automate MTD and MoM calculations using dynamic Excel functions.
### Dashboard Design:
- 🎨 Use Excel’s charting tools (e.g., bar charts, line charts, pie charts) for visualizations.
- 🗂️ Design an intuitive layout with key metrics prominently displayed.
### Automation:
- 🔄 Set up the dashboard to automatically update with new data using Excel’s data connections and refresh options.
- 🚀 Ensure all calculations are dynamic for real-time updates.
---
## 📝 Conclusion
This project highlights Excel's power in creating dynamic and insightful dashboards for financial analysis. Automation in data processing and visualization offers real-time insights, aiding banks in making data-driven decisions about their loan portfolios.
---
## 🔗 Explore Additional Resources
Check out additional resources related to the project here: [Other Resources Folder](https://github.com/Bhushan148/Bank-Loan-Report-Dashboard-Excel/tree/main/Explore%20Additional%20Resources)
---
## 📸 Project Sample Images
Here are some sample images from the Bank Loan Report Dashboard:
### 📊 Summary Dashboard
### 📈 Overview Dashboard
---
### 💡 *"Every challenge is an opportunity to grow. Keep pushing your boundaries."*
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### 🚀 Project Development by Bhushan Gawali