Applying SQL to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.
In this project, I accomplished three main tasks:
1). Data Modeling: Define a database model to store the credit card transactions data and create a new PostgreSQL database using your model.
2). Data Engineering: Create a database schema on PostgreSQL and populate your database from the CSV files provided.
3). Data Analysis: Analyze the data to identify possible fraudulent transactions.