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Thomas Sonderman

Principal Applied Machine Learning Scientist at Genesys

Thomas Sonderman is a highly skilled Principal Applied Machine Learning Scientist at Genesys, with extensive experience in data analysis, predictive modeling, and machine learning algorithm development. Prior to this role, Thomas served as a Data Scientist at JM Family Enterprises, where responsibilities included data collection automation, trend analysis, and collaboration with engineering teams. Academic background includes a Ph.D. and Master's degree in Computer Science from Florida Atlantic University, alongside a Bachelor’s degree and an Associate's degree in related fields. Additional experience spans software engineering, application development, and IT roles across various companies, demonstrating a strong foundation in programming and technology deployment.

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