Branden leads a team of data scientists who analyze data to find new and interesting patterns, relationships, and trends that automate or help people make better decisions. They build interactive data visualizations to explore data and explain insights. He also analyzes data using methods from statistics and machine learning including regression (multiple linear, logistic, etc.), decision trees and random forests, clustering algorithms, neural networks, SVM, etc. He uses a wide range of computer software including R, Python, Tableau, MS SQL Server and others.