https://github.com/bhushan148/bank-loan-analysis
This project involves importing data into SQL 💾, running queries to extract and manipulate the data 🔄, and then visualizing the results 📊 in Power BI dashboards 📈. The project is divided into three main dashboards: 🗂️
https://github.com/bhushan148/bank-loan-analysis
dax etl-pipeline mysql pdf-document power-bi power-query-editor sql
Last synced: about 2 months ago
JSON representation
This project involves importing data into SQL 💾, running queries to extract and manipulate the data 🔄, and then visualizing the results 📊 in Power BI dashboards 📈. The project is divided into three main dashboards: 🗂️
- Host: GitHub
- URL: https://github.com/bhushan148/bank-loan-analysis
- Owner: Bhushan148
- Created: 2024-07-27T09:16:21.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-08-31T11:07:03.000Z (8 months ago)
- Last Synced: 2025-01-17T02:14:59.568Z (3 months ago)
- Topics: dax, etl-pipeline, mysql, pdf-document, power-bi, power-query-editor, sql
- Homepage:
- Size: 11.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 📊 Bank Loan Analysis Project
## Tools
- **🔧 Power BI**: For interactive dashboards and visualizations.
- **🗃️ SQL**: For data extraction and manipulation.
---
## Project Objective
The goal of this project is to **analyze bank loan data** to gain valuable insights into lending activities, identify key performance indicators (KPIs), and track loan performance. This analysis aids in making **data-driven decisions** and understanding the **financial health** of the bank's lending portfolio. 📈💡
---
## Inspiration
This project draws inspiration from the YouTube channel **Data Tutorials**, which provided a comprehensive guide on creating effective data dashboards. Leveraging their techniques, this project delivers a robust analysis solution. 🎓📹
---
## Project Description
This project involves the following steps:
### 1. Data Import and Preparation
- **Import Data**: Load loan data into SQL. 📥
- **Data Cleaning**: Write SQL queries to clean and manipulate the data. 🧹
- **Connect to Power BI**: Integrate Power BI with the SQL database and import the cleaned data. 🔗
- **Further Refinement**: Transform and refine the data in Power BI. 🔄
### 2. Dashboard 1: Summary
- **Key Metrics**:
- **Total Loan Applications**: Number of applications with Month-to-Date (MTD) and Month-over-Month (MoM) changes. 📅
- **Total Funded Amount**: Total funds disbursed with MTD and MoM analysis. 💵
- **Total Amount Received**: Total repayments with MTD and MoM analysis. 💰
- **Average Interest Rate**: Average interest rate with MTD and MoM changes. 📉
- **Average Debt-to-Income Ratio (DTI)**: Measures borrowers' financial health with MTD and MoM tracking. 🏦
- **Good Loan vs. Bad Loan KPIs**:
- **Good Loan**: Percentage and number of 'Good Loans,' including funded amount and total received amount. ✅
- **Bad Loan**: Percentage and number of 'Bad Loans,' including funded amount and total received amount. ❌
- **Loan Status Grid View**: Overview by loan status showing key metrics. 🗂️
### 3. Dashboard 2: Overview
- **Key Metrics**:
- **Monthly Trends by Issue Date**: Analyze loan issuance trends over time. 📅
- **Regional Analysis by State**: Assess lending activity and performance across states. 🗺️
- **Loan Term Analysis**: Breakdown of loan terms (short-term, medium-term, long-term). 📊
- **Employee Length Analysis**: Examine the effect of borrower employment length on loan metrics. 👔
- **Loan Purpose Breakdown**: Metrics based on loan purposes (education, home improvement). 🎯
- **Home Ownership Analysis**: Impact of home ownership status on loans. 🏠
### 4. Dashboard 3: Details
- **Objective**: Provides a detailed view of key loan metrics and borrower profiles. 📋
## Tools and Technologies
- **Power BI**: For creating interactive dashboards and visualizations. 📊
- **SQL**: For data import, cleaning, extraction, and manipulation. 🧹
- **PowerPoint**: For summarizing and presenting the project. 🎤
## Repository Includes
- **Power BI Project File**: Interactive dashboards and visualizations. 📈
- **SQL PDF Documents**: SQL queries used in the project. 📄
- **PowerPoint Presentation**: Project summary and findings. 🗒️
---
## Check Out the More Project on GitHub
[Repository](https://github.com/Bhushan148?tab=repositories) 🌟
## Dataset
Download the dataset used in this project [here](https://github.com/Bhushan148/Bank-Loan-Analysis/blob/main/financial_loan.csv). 📥
## Query Document
Find the SQL queries used in this project [here](https://github.com/Bhushan148/Bank-Loan-Analysis/blob/main/Project%20SQL%20Queries.pdf). 📄
## 📄 Report PDF Here
Find the detailed project report PDF [here](https://github.com/Bhushan148/Bank-Loan-Analysis/blob/main/Finance%20Dashboard%20Project%20pdf.pdf).
## 📊 Power BI Report Sample
Explore a sample of the Power BI report created for this project:
- **Dashboard 1: Summary** 
- **Dashboard 2: Overview** 
- **Dashboard 3: Details** 
---
*“Every data point is a stepping stone to a brighter insight. Keep analyzing, keep discovering!”* 🌟🔍
---
**Project Developed by:**
*Bhushan Gawali* 👋