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Peter Mitchell is a Senior Data Scientist at Dott, with experience in geospatial demand inference, fleet optimization, dynamic service pricing, and payment fraud classification, utilizing tools such as Bayesian programming in Python and Google Cloud Platform. Prior to this role, Peter served as a Postdoctoral Researcher at Leiden University, focusing on scientific analysis of large datasets and publication of 14 peer-reviewed papers, and at the Astrophysical Research Center of Lyon (CRAL), where contributions included numerical simulations and data analysis pipelines. Educational qualifications include a PhD in Astrophysics and a Master's degree in Physics, both from Durham University.