Fabrice Simo Defo
About Fabrice Simo Defo
Fabrice Simo Defo is a data scientist currently employed at Airudi Inc. in Montréal, Québec, Canada, where he has worked since 2021. He holds a Bachelor's degree in Physics from Université de Montréal and has completed a program in Deep Reinforcement Learning at Udacity.
Work at Airudi
Fabrice Simo Defo has been employed at Airudi Inc. as a Data Scientist since 2021. His role involves utilizing data analysis and machine learning techniques to drive insights and support decision-making processes. He has worked in this capacity for three years in Montréal, Québec, Canada. Prior to his current position, he also held the same title at Airudi Inc. for one year, indicating a consistent focus on data science within the organization.
Education and Expertise
Fabrice Simo Defo earned a Bachelor's degree in Physics from Université de Montréal - École polytechnique de Montréal, completing his studies from 2016 to 2020. In addition to his formal education, he pursued further specialization in machine learning through a program at Udacity, where he completed a course in Deep Reinforcement Learning in 2020. This combination of education provides him with a solid foundation in both theoretical and practical aspects of data science and machine learning.
Background in Research and Development
Fabrice Simo Defo has a background in research and development, having worked as an R&D Project Member at AI Launch Lab / Lancement IA for two months in 2021. His experience also includes a position as an intern in research and development on OLED technology at Polytechnique Montréal in 2019, where he contributed for three months. These roles have equipped him with practical skills in project management and technical research.
Previous Roles in Data Science and Project Management
Before joining Airudi Inc., Fabrice Simo Defo served as a Project Director at PolyAI from 2020 to 2021. In this role, he was responsible for overseeing projects related to artificial intelligence applications. Additionally, he worked as a Science Vulgarizer at Folie Technique from 2018 to 2019, where he focused on communicating scientific concepts to a broader audience. These positions highlight his diverse experience in both data science and project management.