Corey J Wade is passionate about mining big data. He believes in accurate statistics and enjoys designing new metrics, like 3NG, the first 3-point basketball statistic ranking shooters by accuracy and volume. Wade has analyzed data for the Berkeley Unified School District, and predicted helpful book reviews using machine learning and natural language processing. He has built models to recommend books and predict cab fares including LightGBM, Sequential Deep Learning, Restricted Boltzmann Machines, Singular Value Decomposition, Random Forests, and more. Wade’s data science research has been published in Springboard and Towards Data Science. A survey of recent projects may be found on his github page.