{"id":27957531,"url":"https://github.com/aishwaryagade02/loan-funnel-optimization-analysis","last_synced_at":"2026-04-30T09:33:43.102Z","repository":{"id":291431734,"uuid":"975020719","full_name":"AishwaryaGade02/Loan-Funnel-Optimization-Analysis","owner":"AishwaryaGade02","description":"Tracks how loan applications move through each stage, helps spot where people drop off, and gives clear insights to improve approval strategies and overall performance.","archived":false,"fork":false,"pushed_at":"2025-05-06T19:57:09.000Z","size":1499,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-07T18:13:23.922Z","etag":null,"topics":["ab-testing","data-analysis","data-creation","hypothesis-testing","python","reporting","sql","statistical-methods","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Python","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/AishwaryaGade02.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,"zenodo":null}},"created_at":"2025-04-29T16:53:01.000Z","updated_at":"2025-05-06T19:57:12.000Z","dependencies_parsed_at":"2025-05-04T16:44:28.234Z","dependency_job_id":null,"html_url":"https://github.com/AishwaryaGade02/Loan-Funnel-Optimization-Analysis","commit_stats":null,"previous_names":["aishwaryagade02/loan-funnel-optimization-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AishwaryaGade02%2FLoan-Funnel-Optimization-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AishwaryaGade02%2FLoan-Funnel-Optimization-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AishwaryaGade02%2FLoan-Funnel-Optimization-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AishwaryaGade02%2FLoan-Funnel-Optimization-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AishwaryaGade02","download_url":"https://codeload.github.com/AishwaryaGade02/Loan-Funnel-Optimization-Analysis/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252931550,"owners_count":21827112,"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":["ab-testing","data-analysis","data-creation","hypothesis-testing","python","reporting","sql","statistical-methods","streamlit"],"created_at":"2025-05-07T18:13:27.415Z","updated_at":"2026-04-30T09:33:43.061Z","avatar_url":"https://github.com/AishwaryaGade02.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 Loan Funnel Analysis \nThis is a full end-to-end data analytics project simulating a **loan application funnel** at a fintech or lending company. It includes:\n\n✅ Funnel performance monitoring  \n✅ Automated KPI reporting and alerting  \n✅ Advanced data insights and cohort analysis  \n✅ A/B testing to evaluate underwriting strategy changes  \n✅ A deployed interactive dashboard (via Streamlit)\n\n---\n\n## 🚀 Project Overview\n\n### 🎯 Objective\nTo simulate, analyze, and optimize the loan funnel journey — from application to funding — and identify areas of improvement using metrics, insights, and A/B experimentation.\n\n---\n\n## 📦 Features\n\n| Category | Description |\n|:--|:--|\n| 🔁 **Synthetic Data Generation** | Realistic data for 10,000 applicants with credit score, income, loan amounts, funnel stages, approval, and default outcomes |\n| 📊 **Funnel Analysis** | Stage-wise conversion rates, approval and funding rates, weekly application trends |\n| 📈 **Advanced Insights** | Analyze how age, income, and credit score influence approvals. Cohort analysis by credit bands and income brackets |\n| 🧪 **A/B Testing** | Compare approval and default rates for different underwriting strategies. Perform Z-tests for statistical significance |\n| 🚨 **Automated Reporting** | Scheduled KPI monitoring and alerting if metrics fall below defined thresholds |\n| 📊 **Interactive Dashboard** | Deployed with Streamlit to visualize KPIs, test results, cohort breakdowns, and alerts |\n\n---\n\n## 🧰 Tools \u0026 Technologies\n\n- **Python**, **Pandas**, **SQLite**\n- **Faker** for synthetic data generation  \n- **Statsmodels** for A/B testing (Z-test for proportions)  \n- **Streamlit** for dashboard deployment  \n- **SQL** for query-based analysis (via SQLite)\n\n---\n\n\n---\n\n## ✅ How to Run Locally\n\n1. Clone the repo  \n2. Install dependencies:\n\n```bash\npip install -r requirements.txt\n```\n\n3. Generate data and SQLite DB:\n```bash\npython src/generate_data.py\n```\n\n4. 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