Tomás Notenson is an accomplished data science professional with experience in both technical and strategic roles. As a Data Science Coordinator at CSA from April 2025 to May 2025, Tomás led projects that involved developing and automating modeling methodologies, particularly in Media Mix Modeling, MTA, TVI, and GeoLift. Previous roles included serving as a Senior Data Scientist and a Data Scientist within product development teams, where Tomás collaborated with multidisciplinary teams to drive innovation. In addition to practical experience, Tomás has an academic background as an assistant professor at various universities, teaching mathematics and physics. Currently pursuing a doctorate at Universidad de Buenos Aires, Tomás holds a Bachelor's degree in Physical Sciences from the same institution.
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