I am currently working on a mini project for my degree with Lloyds Banking Group, as team leader. The project aim is to find insights in transaction data, to help the bank. This involves customer segmentation, fraud detection, and whatever else you can think that would benefit the bank. I have recently finished a project with a small team as part of my degree, with the Lloyds Banking Group. We were provided with simulated transactional data and the goal was to find insights into the data.

My team decided to take the direction of customer segmentation and fraud detection. Using RFM analysis and building models with DBSCAN and K-means we were able to segment customers into different categories. Isolation Forests and Autoencoders were implemented to detect fraudulent transactions within the data.