Andrew Waters: About the Author
Principal Data Scientist, Pinnacle
Dr. Andrew Waters is a principal data scientist at Pinnacle, focusing on developing data-driven algorithms to enhance a variety of reliability and maintenance applications. Dr. Waters also specializes in utilizing machine learning methods to improve and augment human decision making. He has utilized these skills across a diverse set of industries including finance, communication systems, engineering, signal processing, optimizing student learning outcomes, and hiring and recruitment programs.
Dr. Waters holds a doctorate in Electrical and Computer Engineering from Rice University and is the author of over 20 publications in the areas of signal processing, machine learning, and Bayesian statistical methods. His research interests include sparse signal recovery, natural language processing, convex optimization, and non-parametric statistics.
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Published Articles
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November/December 2020 Inspectioneering JournalFacilities that can successfully leverage both their data and expertise while effectively integrating this unified model into their core business processes can improve performance and eliminate non-value-added activities.
