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
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.
- Randy Collica is a Principal Solutions Architect at SAS supporting the retail, communications, consumer, and media industries.
- Carlos Andre Reis Pinheiro is currently a visiting professor at KU Leuven, Belgium, and a lecturer at FGV, Brazil, investigating human mobility in urban areas.
- Ron Cody, EdD, a retired professor from the Robert Wood Johnson Medical School now works as a private consultant and a national instructor for SAS Institute.