Walter Reade is a Staff Developer Relations Engineer with 11+ years of experience at the intersection of data science, machine learning, and product-driven analytics, currently at Google DeepMind and previously helping run Kaggle competitions inside Google. He built his career translating complex experimental and manufacturing problems into quantifiable business outcomes—from pioneering ML in product R&D at Kimberly‑Clark to optimizing mobile ad analytics that drove millions in revenue. A PhD chemical engineer by training, Walter pairs rigorous scientific thinking with hands‑on tooling (Python, pandas, scikit‑learn, xgboost, keras) and a talent for simplifying hard problems into actionable plans. He is an accomplished communicator who produces internal technical reports, external publications and patents, and who actively consults on applying ML to atmospheric physics. Known for quickly synthesizing large bodies of information, he brings a rare blend of industrial process expertise and community‑facing developer relations skills, informed by his background as a Top‑100 ranked Kaggle competitor.
11 years of coding experience
16 years of employment as a software developer
Ph.D. Chemical Engineering, Ph.D. Chemical Engineering at Penn State University
BS MS Chemical Engineering, BS MS Chemical Engineering at Brigham Young University
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