ML Specialist SA , AWS Solutions Architecture, Amazon Web Services
- Emily is a Machine Learning Specialist Solutions Architect at Amazon Web Services (AWS). 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. 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. She has worked as a data scientist at the Federal Reserve Bank of Chicago, and as a solutions architect for an explainable AI start-up in Chicago. At AWS she guides customers from project ideation to full deployment, focusing on Amazon SageMaker. Her customers are household names across the world, such as TMobile.
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