Nathan Orenstein is a skilled Business Analyst currently working at TriNet since June 2022, where contributions include developing a Tableau reconciliation report, writing Python scripts for ETL tasks, and automating processes to enhance efficiency. Prior experience includes a Research Assistant position at SDSU Research Foundation focusing on COVID-19 modeling, and a Teaching Assistant role at UC San Diego, where guidance was provided for undergraduate and graduate courses in statistical analysis and big data. Nathan also interned as a Business Analyst at 1798, managing healthcare data projects, and has foundational experience from roles at AMC Theatres and College Planning Source. Academic credentials include a Master of Science in Big Data Analytics from San Diego State University and a Bachelor of Science in Cognitive Science with a specialization in Machine Learning and Neural Computation from UC San Diego.
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