Analyzing Transaction Data For Fraud Detection

Overview

This project focuses on analyzing transactional data from Kaggle to detect potential fraud. The data was cleaned and normalized using database best practices (BCNF), then loaded into MS SQL Server. Power BI was used to create interactive dashboards that visualize key metrics such as transaction trends, customer behavior, and fraud indicators. Open-source project by Roshae, published on GitHub.

Highlights

• Primary language: Jupyter
• Open source — view the code and contribute on GitHub

Built with

• Jupyter