Daniel D. Gutierrez

Daniel is an established leader in the field of data science with specialties in machine learning, AI, deep learning, predictive analytics, data visualization, and data analysis. He founded AMULET Analytics to provide leading-edge data science consulting services for organizations of all sizes and in a broad cross-section of industries. Daniel has a unique ability to extract valuable and often unforeseen business knowledge from enterprise data assets. He has taught data science technology classes at UCLA, UCI, and UC Davis Extension; served as Editor for several computer industry publications; authored a book on data science and machine learning using R. Daniel is an award-winning science writer. Data science, mathematics, statistics, and computer science experience is complemented by degree from UCLA (BS, Mathematics/Computer Science).