Andrew Waterman

Andrew Waterman is a seasoned professional in the field of Data Science and Machine Learning, offering consulting R&D services and machine learning model hosting through Waterway Data.

With a background in both MS and BS in Symbolic Systems from Stanford University, Andrew has a strong educational foundation in the field.

Throughout his career, Andrew has held various roles in esteemed organizations such as Ubiquity Ventures, GOBEL, Actium Health, USAsia Venture Partners, Nordic Innovation House, Swift Navigation, Affirm Inc., Google, and more.

Andrew has experience as a Machine Learning Engineer, Consultant, and Founder at Waterway Data, enhancing businesses with predictive modeling, deep learning, natural language processing, and model deployment services.

His expertise spans across sectors like health care, law, fintech, e-commerce, and face recognition, showcasing his adaptability and problem-solving skills in diverse industries.

Aside from his professional ventures, Andrew Waterman has also contributed to the academic sphere as an English Professor at Mae Fah Luang University in Thailand and as a Research Assistant at Stanford Institute for Economic Policy Research.

His technical acumen is evident from his roles as a Software Developer at SSB BART Group, a Technical Intern at Northrop Grumman Corporation, and a Director of Technology at Siam Tea Company in Thailand.

Andrew's extensive experience in product management, startup mentorship, and consultancy positions him as a well-rounded professional with a wealth of knowledge to offer to organizations seeking to leverage machine learning for business growth.

For businesses looking to enhance their data science capabilities, Andrew Waterman's expertise and experience make him a valuable asset in navigating the complexities of Machine Learning and Deep Learning to drive innovation and efficiency.