James Gearheart
James Gearheart is an experienced Senior Data Scientist and Machine Learning Engineer who has developed transformative machine learning and artificial intelligence models. He has over 20 years of experience in developing and analyzing statistical models and machine learning products that optimize business performance across several industries including digital marketing, financial services, public health care, environmental services, social security and worker’s compensation.
James has been both a data science manager and an individual contributor on projects ranging from logistics, anti-money laundering, CRM, cash demand forecasting, customer segmentation, digital marketing, A/B testing, attribution and attrition. His research interests include applied data science, machine learning, and artificial intelligence.
By This Author
SAS®, Python, and R: A Cross-Reference Guide for Data Science
by James Gearheart
SAS, Python, and R: A Cross-Reference Guide for Data Science is an essential resource for anyone looking to elevate their data science skills by mastering SAS, Python, and R side-by-side. This book is designed to empower both beginners and experienced data scientists to seamlessly navigate between these three powerful languages.
End-to-End Data Science with SAS®: A Hands-On Programming Guide
by James Gearheart
End-to-End Data Science with SAS provides clear and practical explanations of the data science environment, machine learning techniques and the SAS code necessary for the proper development and evaluation of these highly desired techniques. These explanations are demonstrated with real-world business applications across a variety of industries.
Featured Authors
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.