Machine Learning Specialist Solutions Architect, Amazon Web Services
Emily Webber is a machine learning specialist solutions architect at Amazon Web Services (AWS), where she guides customers from project ideation to full deployment, focusing on Amazon SageMaker, where her customers are household names across the world, such as TMobile. She has been leading data science projects for many years, piloting the application of machine learning into such diverse areas as social media violence detection, economic policy evaluation, computer vision, reinforcement learning, IOT, drone, and robotic design. Previously, she was a data scientist at the Federal Reserve Bank of Chicago and a solutions architect for an explainable AI startup in Chicago. Her master’s degree is from the University of Chicago, where she developed new applications of machine learning for public policy research with the Data Science for Social Good Fellowship.
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