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Maggie Royal is a Data Scientist at Camber, with a strong background in modeling and simulation engineering gained from prior roles at Proterra Inc. and Integral Group. At Proterra, Maggie demonstrated expertise in building scalable models to optimize electric vehicle fleet charging, leading to significant energy cost reductions and successful technical product development. Maggie's experience includes extensive collaboration with engineering and software teams, training neural networks for charge time predictions, and preparing data-driven insights for sales, contributing to multi-million dollar deals. An educational foundation in Mechanical Engineering from Georgia Institute of Technology, alongside ongoing studies for a Master's in Data Science at UC Berkeley, complements Maggie's technical proficiencies. Additionally, Maggie has experience in mechanical design and teaching, further showcasing versatility and a commitment to mentoring.