Dallin Clayton is a data scientist with nine years of experience applying machine learning and statistical methods to real-world problems across travel, education, and research contexts. Currently at Travel + Leisure Co., he turns behavioral and operational data into actionable insights to inform business initiatives. His background includes building teacher-feedback systems using video analytics, developing path-planning algorithms with ROS in robotics research, and hands-on software development and QA from internships and student roles. Dallin combines strong academic foundations—a Master's in Computer Science from Brigham Young University—with practical teaching experience, having tutored and instructed programming to diverse learners. He brings a curiosity-driven approach (aptly summarized on GitHub as “the secrets of the universe are waiting for us to find”) and a track record of translating complex models into tools that improve performance.
9 years of coding experience
1 year of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Brigham Young University
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