Sterling
Daniel Elliott is a highly experienced machine learning engineer and data specialist currently serving as the Lead Machine Learning Engineer at Sterling, focusing on data federation and AI capabilities. Elliott has held significant roles at Lindsay Corporation, progressing from Senior Manager of Data Services to Manager of Data Services and Senior Data Scientist, where contributions included leading the development of a data lakehouse and machine health models. Additional experience includes serving as a Technical Advisor at Royal Engineered Composites and consulting roles at Landus and SegAna LLC. Elliott has a strong academic background, holding a Ph.D. in Computer Science from Colorado State University, where work as faculty involved teaching and research in data science and machine learning.
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Sterling
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For over 26 years, Sterling has been helping customers address their most complex technology requirements. Leveraging elite internal teams and superior industry partnerships, Sterling delivers transformative solutions in Digital Workspace, Modern Infrastructure, Connectivity, Security, Cloud, and Services. Sterling’s clients include a host of Federal, State and Local, Education, and Commercial entities, all of whom receive an ethical, consistent, transparent, and predictable experience when working with Sterling. Likewise, the award-winning solutions provider represents over 1,800 brands and product lines, with top-level certifications from the industry’s best manufacturers. No matter the scope or complexity of a requirement, then, Sterling has your back.