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Emma Nechamkin

Staff Machine Learning Engineer at Anomalo

Emma Nechamkin is a highly skilled machine learning engineer currently serving as a Staff Machine Learning Engineer at Anomalo since November 2022, following a role as a Senior Machine Learning Engineer. Prior experience includes a position as a Data Scientist - Digital Services Expert at the United States Digital Service and a Data Scientist at the University of Chicago Crime Lab, where Emma was employed full-time from July 2019 after completing 16 months as an intern. Emma has also worked as a Graduate Teaching Assistant at the University of Chicago, a Data Scientist at The Urban Institute, and a Chemistry Teacher associated with Teach For America at Perspectives Charter Schools, where Emma held the position of Network-wide Head of Chemistry Curriculum. Earlier professional experience includes consultancy at Simon-Kucher & Partners and research at Wellesley College. Emma holds a Master of Science in Computational Analysis and Public Policy from the University of Chicago, a Master’s Degree in Secondary Education and Teaching from Dominican University, and a Bachelor of Arts in Chemistry from Wellesley College.

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Anomalo

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Anomalo is a complete data quality platform that automatically detects and explains issues in your enterprise data.


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