Joaquín Mesa-Jiménez, PhD, is a senior data scientist at Speedcast, specializing in time series modeling and AI solutions for power grids. Previously, they served as a senior data scientist at Arthur D. Little, where they developed innovative algorithms and data dashboards, significantly improving reporting and insights. Joaquín has also worked as a research scientist at Mitie Energy, implementing machine learning models to enhance energy efficiency, and as a data mentor at Decoded, guiding learners in data science. They hold a Bachelor's degree in Industrial Engineering, a Master's degree in Advanced Manufacturing Systems, and a PhD focused on AI for optimization and demand-side response.
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