{"id":20707272,"url":"https://github.com/adi-200/bank_loan_data_analysis_using_power-bi","last_synced_at":"2026-03-19T17:09:16.576Z","repository":{"id":242172416,"uuid":"808877495","full_name":"Adi-200/Bank_Loan_Data_Analysis_Using_Power-BI","owner":"Adi-200","description":"Bank Loan Data Analysis Using Power BI","archived":false,"fork":false,"pushed_at":"2024-06-01T06:35:08.000Z","size":3079,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-11T05:20:49.098Z","etag":null,"topics":["charts","datacleaning","datatransformation","datavisualization","dax-expression","dax-query","powerbi"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Adi-200.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-06-01T03:42:52.000Z","updated_at":"2024-06-01T06:35:11.000Z","dependencies_parsed_at":"2024-06-01T07:57:25.994Z","dependency_job_id":null,"html_url":"https://github.com/Adi-200/Bank_Loan_Data_Analysis_Using_Power-BI","commit_stats":null,"previous_names":["adi-200/bank_loan_data_analysis","adi-200/bank_loan_data_analysis_using_power-bi"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Adi-200/Bank_Loan_Data_Analysis_Using_Power-BI","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adi-200%2FBank_Loan_Data_Analysis_Using_Power-BI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adi-200%2FBank_Loan_Data_Analysis_Using_Power-BI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adi-200%2FBank_Loan_Data_Analysis_Using_Power-BI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adi-200%2FBank_Loan_Data_Analysis_Using_Power-BI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Adi-200","download_url":"https://codeload.github.com/Adi-200/Bank_Loan_Data_Analysis_Using_Power-BI/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adi-200%2FBank_Loan_Data_Analysis_Using_Power-BI/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262547273,"owners_count":23327139,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["charts","datacleaning","datatransformation","datavisualization","dax-expression","dax-query","powerbi"],"created_at":"2024-11-17T01:25:34.900Z","updated_at":"2026-02-02T12:44:32.665Z","avatar_url":"https://github.com/Adi-200.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Bank Loan Data Analysis Using Power BI\n\nThe Bank Loan Portfolio Analysis project aims to provide comprehensive insights into the bank's loan portfolio using Power BI visualization tools. By leveraging these technologies, we seek to enhance decision-making processes, mitigate risks, and optimize loan management strategies.\n\n## Link\n\n[POWER BI PDF File](https://drive.google.com/file/d/1P4eqlbYY5rKENU9N45IaPBWPIvNM-N9v/view?usp=drive_link)\n\n\n\n## Problem Statement\n\n### Dash Board 1: Summary\n\n#### Total Loan Applications:\n\nWe need to calculate the total number of loan applications received during a specified period. Additionally, it is essential to monitor the Month-to-Date (MTD) Loan Applications and track changes Month-over-Month (MoM).\n\n#### Total Funded Amount:\n\nUnderstanding the total amount of funds disbursed as loans is crucial. We also want to keep an eye on the MTD Total Funded Amount and analyse the Month-over-Month (MoM) changes in this metric.\n\n#### Total Amount Received: \n\nTracking the total amount received from borrowers is essential for assessing the bank's cash flow and loan repayment. We should analyse the Month-to-Date (MTD) Total Amount Received and observe the Month-over-Month (MoM) changes.\n\n#### Average Interest Rate: \n\nCalculating the average interest rate across all loans, MTD, and monitoring the Month-over-Month (MoM) variations in interest rates will provide insights into our lending portfolio's overall cost.\n\n#### Average Debt-to-Income Ratio (DTI): \n\nEvaluating the average DTI for our borrowers helps us gauge their financial health. We need to compute the average DTI for all loans, MTD, and track Month-over-Month (MoM) fluctuations.\n\n### Good Loan v Bad Loan KPI’s\n\n#### Good Loan:\n\n1.\tGood Loan Application Percentage\n2.\tGood Loan Applications\n3.\tGood Loan Funded Amount\n4.\tGood Loan Total Received Amount\n\n\n#### Bad Loan:\n\n1.\tBad Loan Application Percentage\n2.\tBad Loan Applications\n3.\tBad Loan Funded Amount\n4.\tBad Loan Total Received Amount\n\n\n### Loan Status Grid View\n\nIn order to gain a comprehensive overview of our lending operations and monitor the performance of loans, we aim to create a grid view report categorized by 'Loan Status.’ By providing insights into metrics such as 'Total Loan Applications,' 'Total Funded Amount,' 'Total Amount Received,' 'Month-to-Date (MTD) Funded Amount,' 'MTD Amount Received,' 'Average Interest Rate,' and 'Average Debt-to-Income Ratio (DTI),' this grid view will empower us to make data-driven decisions and assess the health of our loan portfolio.\n\n\n## CHARTS\n\n### Dash Board 2: Overview\n\n1. Monthly Trends by Issue Date (Line Chart):  To identify seasonality and long-term trends in lending activities\n\n2.\tLoan Term Analysis (Donut Chart): To allow the client to understand the distribution of loans across various term lengths.\n\n3.\tEmployee Length Analysis (Bar Chart): How lending metrics are distributed among borrowers with different employment lengths, helping us assess the impact of employment history on loan applications.\n\n4.\tLoan Purpose Breakdown (Bar Chart): Will provide a visual breakdown of loan metrics based on the stated purposes of loans, aiding in the understanding of the primary reasons borrowers seek financing.\n\n5.\tHome Ownership Analysis (Tree Map): For a hierarchical view of how home ownership impacts loan applications and disbursements.\n\n\n## GRID\n\n### Dash Board 3: Details\n\nNeed for a comprehensive 'Details Dashboard' that provides a consolidated view of all the essential information within our loan data. This Details Dashboard aims to offer a holistic snapshot of key loan-related metrics and data points, enabling users to access critical information efficiently.\n\n\n## Screenshots\n\n![bank 1](https://github.com/Adi-200/Bank_Loan_Data_Analysis/assets/92008726/32bf19d9-c457-465b-bf11-22bb975ead95)\n\n![Bank 2](https://github.com/Adi-200/Bank_Loan_Data_Analysis/assets/92008726/0039229f-cd11-4fcd-9a78-aace0bd08cb2)\n\n![Bank 3](https://github.com/Adi-200/Bank_Loan_Data_Analysis/assets/92008726/4633cb66-f215-422e-8c42-3b638f7cb745)\n\n## 🛠 Skills\n\n* Microsoft Power BI\n\n* Microsoft Excel\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadi-200%2Fbank_loan_data_analysis_using_power-bi","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadi-200%2Fbank_loan_data_analysis_using_power-bi","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadi-200%2Fbank_loan_data_analysis_using_power-bi/lists"}