I lead 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. We build interactive data visualizations to explore data and explain insights. I analyze 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. I use a wide range of computer software to work with data including R, Python, Tableau, MS SQL Server and others.