Jihane Kamil is a well-versed professional with a Bachelor of Engineering in Honours Mechanical Engineering from McGill University and is currently pursuing an MSc in Machine Learning and Data Science at Imperial College London. Experience includes roles as an Undergraduate Research Assistant at McGill University, a Teaching Assistant for Advanced Algebra, and a System Software Engineering Intern at CAE, where contributions were made to C++ object-oriented simulations for Boeing 737 aircrafts. Jihane's research at École Polytechnique focused on MATLAB/Python computer vision models for nuclear fusion reactors. At TC Energy, a Mechanical Engineer role involved developing an app for automating engineering data analysis, leading to enterprise-wide implementation in 2021, before transitioning to a Data Scientist position with expertise in Machine Learning and Natural Language Processing. Currently, Jihane serves as Lead Data Scientist at Develop Diverse, specializing in data science, machine learning, and tech strategy.
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