Daniel García Teba

Daniel García Teba is an accomplished aerodynamics data scientist at Airbus since February 2022, with prior experience as a data scientist at Fujitsu Spain and a product engineer at DTN, focusing on algorithms for LIDAR sensors and meteorological predictions for airports. Previously, Daniel worked at Capgemini Engineering, contributing to the development of predictive maintenance algorithms for Airbus's Auxiliary Power Units and serving as a flight test analyst for the A400M and C295 programs. Daniel's career includes roles at AYESA, Airbus Group, Sokar Mechanics, and USR Engineering, showcasing expertise in manufacturing engineering, design engineering, and advanced data analysis. Daniel holds a Master's degree in Big Data and Analysis from Universidad Europea Miguel de Cervantes, a Master's in GAIA studies from Universidad de Alcalá, and a Graduate degree in Aerospace Engineering from Universidad de Sevilla.