1. Introduction · The " The Loan Detective: Identifying Risks and Anomalies in Financial Data " aims to evaluate the risk associated with loan applicants using a comprehensive dataset containing customer and loan details. In the financial industry, accurately assessing loan risk is crucial for minimizing potential losses and ensuring the stability of lending institutions. This project leverages SQL to explore and analyze key risk factors, providing insights into customer profiles, creditworthiness, and potential default risks. The dataset used in this project includes a range of attributes such as customer demographics, loan amounts, credit scores, and repayment history. By examining these factors, we aim to identify high-risk customers, understand the characteristics of defaulted loans, and propose strategies for improving loan approval processes. The project not only focuses on the technical aspects of data analysis but also incorporat...