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Andy Cho is a data engineer with a diverse background in data analysis, application development, and data management. Experience includes working as a Research Assistant at Duke University's Reiter Lab, where a pilot Shiny application was developed for verifying synthetic datasets, and additional roles at Applied Predictive Technologies focusing on A/B testing, data pipeline optimization, and ensuring data integrity. In subsequent positions at Meta, Cho progressed from a Data Engineer Intern to a Senior Data Engineer, contributing to large-scale data processing for Facebook Ads Manager and enhancing logging methodologies. Educational credentials include a Master of Science in Data Science from Columbia University and a Bachelor of Science in Statistics and Computer Science from Duke University.

The Seattle office focuses on advanced engineering and data-driven solutions, emphasizing machine learning and product design.

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