Francisco Muñoz Soler
About Francisco Muñoz Soler
Francisco Muñoz Soler is a Manager of R&D at CCC Intelligent Solutions in Chicago, Illinois, with a background in aerospace and aeronautical engineering. He has experience in data science, specializing in machine learning applications for hybrid vehicles.
Work at CCC Intelligent Solutions
Francisco Muñoz Soler has been serving as the Manager of Research and Development at CCC Intelligent Solutions since 2019. In this role, he focuses on advancing the company's capabilities in data analysis and modeling, particularly in the context of hybrid vehicles. His work involves leading projects that leverage machine learning and deep learning techniques to enhance vehicle behavior predictions. His position in Chicago, Illinois, places him at the heart of innovation in the automotive technology sector.
Previous Experience at Argonne National Laboratory
Prior to his current role, Francisco worked as a Data Scientist at Argonne National Laboratory from 2018 to 2019. During his tenure in the Greater Chicago Area, he gained valuable experience in data science, contributing to projects that utilized advanced analytical techniques. This position provided him with a strong foundation in data-driven decision-making and research methodologies.
Education and Expertise
Francisco Muñoz Soler holds a Bachelor’s degree in Aerospace Engineering from Universidad de Sevilla, which he completed from 2012 to 2016. He furthered his education with a Master of Science in Aeronautical Engineering from Universidad Politécnica de Madrid, studying from 2016 to 2018. Additionally, he earned a Master of Engineering in Aerospace and Mechanical Engineering from the Illinois Institute of Technology in 2018. He also completed a course on Self-Driving Cars at Udacity from 2018 to 2019, enhancing his knowledge in autonomous vehicle technology.
Technical Skills and Specializations
Francisco specializes in data analysis and modeling for hybrid vehicles, utilizing his expertise in machine learning and deep learning. He has extensive experience with libraries such as Keras and TensorFlow to predict vehicle behavior. His programming skills include developing data science applications in Python, employing libraries like pandas, numpy, sklearn, and scipy to analyze and model complex datasets.
Vision for AI and Innovation
Francisco believes in the transformative impact of artificial intelligence as a key component of a new industrial revolution. He is passionate about contributing innovative ideas in the field of AI, particularly as it relates to the automotive industry. His commitment to advancing technology reflects his dedication to harnessing AI for practical applications in vehicle development and performance.