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Claire Ramming is a Senior Software Engineer at Kevala, Inc., where work involves utilizing the Svelte and Python (Django) stack to develop software aimed at promoting a cleaner and greener world. With previous experience as a Senior Data Analyst at CompStak®, Claire developed internal tools using JavaScript/React and coordinated projects to enhance data accessibility. Prior roles include positions at Epic, where collaboration with clinicians focused on generating operational reports, and training in data science that involved machine learning and Python. Claire Ramming holds a Bachelor of Science in Electrical and Computer Engineering from the University of Rochester, complemented by international academic experience at The University of Auckland.