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Andrew Harding

Principal Machine Learning Engineer at VideoAmp

Andrew Harding is a skilled Principal Machine Learning Engineer at VideoAmp, with experience in designing and maintaining machine learning pipelines using technologies such as Spark and Databricks. Previously, Andrew held roles at Nexient, where both Data Engineering and Data Science tasks were performed, and at Bright Power, Inc., contributing to software development and data analysis. Andrew's early career included positions in community service and administration, notably with Goodwill of Northern Michigan and AmeriCorps VISTA. Academic credentials include a Bachelor of Arts in Mathematics from DePaul University and further studies at New York University.

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Ann Arbor, United States

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VideoAmp

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The VideoAmp Platform enables advertisers to optimize their entire portfolio of linear TV, OTT and digital video to business outcomes, measuring how their ads performed against metrics that matter.


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201-500

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