FlowXperience: Unraveling Customer Transaction Journeys

This is a case study project for a bank transaction scenario with generated dummy data that I created using the Faker library in PostgreSQL.

Full Presentation: Presentation

Step by Step to Generate Data

1. Open the dummy.ipynb and adjust it according to the variable elements that you want to place in the data.

2. Create and configure a database in PostgreSQL using either dBeaver or PGAdmin.

3. Generate and send data to PostgreSQL

Feature Engineering

I created a new column named "Category" to group transactions based on their categories. This is done to facilitate the observation of transaction trends from month to month.

Thank you

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