Michael Schiavoni is a Principal Data Scientist specializing in Business Intelligence. Michael has experience in data pipelining and automation using PySpark, Pandas, and SQL. Prior to their current role, Michael worked as a Senior Data Scientist focusing on cost estimation using machine learning techniques. Michael has a background in radar signal processing and algorithm development. Michael holds a Master's Degree in Applied Statistics from Penn State University and has degrees in Physics from University of California, Riverside, and University of Delaware.
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