EverBank

Project Goal: This project aims to identify and find a solution to improve performance in marketing EverBank’s products directly related to long-term deposits by paying attention to the results of previous campaigns. The project involves a big data analytics process using SAS to find and analyze patterns that contribute to business decisions for EverBank’s corporate sustainability.

Task: Performed data preparation and Exploratory Data Analysis using bank data, built machine learning models using Decision Tree, Random Forest, Logistic Regression, and Gradient Boosting. Results obtained a model with an accuracy of 90.20%.

More: EverBank on GitHub