Fraud Detection Tracker

Nchewi Enya

Fraudulent activities in financial transactions present significant challenges to businesses, leading to financial losses, damaged reputations, and compromised customer trust. This project aims to develop a fraud detection tracker that leverages data analysis to identify fraudulent transactions. By utilizing SQL for data analysis and Power BI for visualization.
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Posted Sep 9, 2024

Developed a system to track fraudulent transactions in a financial dataset.

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