{"repo":"Dicklesworthstone/ppp_loan_fraud_analysis","free":true,"listed":false,"github":"https://github.com/Dicklesworthstone/ppp_loan_fraud_analysis","clone":"git clone https://github.com/Dicklesworthstone/ppp_loan_fraud_analysis.git","description":"An Analysis of Public PPP Loan Data To Uncover Fraud","language":"Python","stars":17,"topics":["data-analysis","finance","fraud-detection","python"],"license":null,"category":"trading","readme_excerpt":"PPP Loan Fraud Analysis Project By Jeffrey Emanuel (Created 2025-02-20) Overview This project is a sophisticated Python-based data analysis tool designed to detect potential fraud in Paycheck Protection Program (PPP) loan data, focusing on a large 8.4GB CSV dataset. It employs a three-step process to identify, prioritize, and analyze suspicious loans: 1. Scoring : The simple loan fraud score.py script processes the full PPP dataset ( ppp-full.csv ), scoring each loan for fraud risk using heuristics such as business name patterns, address anomalies, and lender behavior. Loans exceeding a risk threshold (default: 100) are flagged and saved to suspicious loans.csv . 2. Sorting and Filtering : The sort suspicious loans by risk score.py script sorts these flagged loans by risk score in descending order and applies an optional minimum risk cutoff (default: 140.0), producing suspicious loans sorted.csv . 3. Deep Analysis : The analyze patterns in suspicious loans.py script loads the sorted suspicious loans alongside the full dataset to perform advanced statistical and machine learning analyses (e.g., XGBoost, logistic regression), uncovering patterns and correlations that indicate fraud. Results are detailed in the console output. The system is optimized for large-scale data processing and leverages modern data science techniques to provide actionable insights. Because the system takes a long time to process and score loans, I have saved the final output of the analysis step and inc","default_branch":null,"files":null,"tree":[],"storefront":"/r/Dicklesworthstone","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Dicklesworthstone/ppp_loan_fraud_analysis/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}