Javier Sáez Gallego is a Senior Geospatial Data Scientist at TransparenC, with prior experience as a Senior Data Scientist at Reforestum, where contributions included the development of a forest monitoring product utilizing near-real-time satellite imagery for carbon credit transparency. Javier has held roles at Minsait as a Senior Data Specialist, focusing on machine learning applications for predictive maintenance models, and at TecdeSoft Automation as a Data Scientist, involved in predictive maintenance and optimal scheduling projects. Experience also includes analysis of wind turbine warranties at Siemens Gamesa, advanced research during a PhD at the Technical University of Denmark, and roles at Universidad de Valladolid. Educational qualifications include a Master’s in Mathematical Modelling and Computation from DTU and a Licenciado in Statistics and Techniques from Universidad de Valladolid.
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