Developed machine learning models using SAS Enterprise Miner to analyze campaign data for a non-profit organization. Built classification models (logistic regression, decision tree, k-nearest neighbors) to identify potential donors and prediction models (linear regression, random forest, neural networks) to estimate donation amounts. Delivered actionable insights to improve fundraising strategies.