Ryan Skorupski has a diverse professional background spanning roles in research, machine learning, data science, and personal training. Starting as a Finance Intern at Kline Construction, Ryan contributed to estimating tools and cost evaluations before taking on internships at Sony Corporation and TransLoad America, focusing on pension fund validation and operational efficiency, respectively. As a graduate research assistant at the University of Washington, Ryan developed a program for Natural Language Processing and explored crowdfunding dynamics. Ryan's experience as a Machine Learning Scientist at Integris Software and a Senior Data Scientist at SAP included building predictive models and data pipelines. Currently, Ryan serves as ML & DS Manager at SAP, leveraging extensive skills in data science, machine learning, and optimization to drive innovative solutions.
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