Pablo Sanz Fernández

Pablo Sanz Fernández is a Data Science Consultant at Royal HaskoningDHV since September 2021, where leadership of a cross-functional team resulted in a production scheduling application that significantly reduced order processing time for a major fashion apparel manufacturer. Prior experience includes serving as an Optimization Engineer at Interlake Mecalux, Inc. and a Scheduling and Planning Analyst at Vueling Airlines, contributing to storage solutions and enhancing network capacity respectively. As a Data Science Intern at UPC NanoSat Lab, Pablo worked on a software-based digital twin to simulate flight conditions for small satellites, achieving substantial cost savings. Early career included private tutoring in physics and mathematics, complemented by a solid educational background with multiple degrees in Aerospace disciplines from Universitat Politècnica de Catalunya and a Master of Engineering from Illinois Institute of Technology.