Enhancing Fraud Detection: A Comprehensive Analysis of Financial Transactions

Music City Center 

This project focuses on the analysis and interpretation of a large financial transactions dataset created by Caixabank Tech for the 2024 AI Hackathon, available on Kaggle. The research involves developing interactive Tableau dashboards, including maps of financial transactions across the United States and time series plots to visualize trends over time. In addition to data visualization, I will identify suitable statistical techniques for analysis and apply statistical models and machine learning methods to predict fraudulent transactions within the dataset. By combining data visualization, statistical analysis, and machine learning, this research aims to uncover actionable insights and enhance the detection of fraudulent activities in financial transactions.

Fraud Detection

Data Visualization

Financial Transactions

Statistical Models

Machine Learning Techniques 

Section on Risk Analysis