Machine Learning models have become increasingly present in the busi￾ness world. In an increasingly competitive market, churn prediction — that is, the moment when a user stops using a product or service — has become crucial for companies seeking to increase customer retention. This project aims to cre￾ate a robust Machine Learning model to predict churn at an enterprise level. Utilizing cloud computing, advanced Data Engineering systems, good Machine Learning practices, and effective business leverage strategies, the project hopes to provide an efficient and scalable tool to predict churn in a digital bank. This model can serve as a basis for building many other models and also contribute to the implementation of Machine Learning models in companies.