Camille Calandre is a Health Modeller at OECD-OCDE since September 2025, with prior experience as an Applied AI Scientist at Inarix and a Lead Data Scientist at QuantCube Technology, focusing on the development of real-time indicators for economic, social, and environmental variables using machine learning and econometrics. Educational qualifications include a Master 2 in Econometrics and Empirical Economics and a Master 1 in Economics from Toulouse School of Economics, alongside a Licence de gestion from the University of Paris I: Panthéon-Sorbonne. Previous roles also include teaching assistance in macroeconomic theories, economic advisory support at Deloitte, and research positions analyzing various economic impacts related to agriculture and public policies, demonstrating a strong background in data analysis and econometric modeling.
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