David Liau is a data scientist with nine years of experience who builds production-ready analytics and prescriptive platforms to drive measurable business impact. Based in Seattle, he has led end-to-end model deployments that delivered high accuracy and multimillion-dollar ROI, while mentoring business units on data collection, governance, and KPI-driven decision making. His background spans energy and industrial automation to research-grade software, combining practical Python/TensorFlow modeling with visualization in Tableau and scalable feature engineering pipelines. A UCSD-trained ML specialist with hands-on experience in API-driven front-end work and automated testing, he’s equally comfortable translating technical insights for executives and implementing the engineering needed to operationalize them. Less obvious: he brings cognitive-science informed thinking to feature design and stakeholder communication, a skill honed through interdisciplinary research and teaching roles.
9 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Master's degree, Data Science and Machine Learning, Master's degree, Data Science and Machine Learning at University of California, San Diego - Jacobs School of Engineering
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