Rym Laabiyad

Machine Learning Engineer at Doctrine

Rym Laabiyad has a diverse range of work experience in the field of data science and AI. In 2017, they worked as a Product Owner at Algofi. From 2019 to 2021, they served as a Data Science & AI consultant at OCTO Technology, where they worked on projects related to time series prediction, computer vision, and audio AI. During the same period, they also worked as a Student Data Science Consultant at Accenture, focusing on wind turbine maintenance for Engie. In 2021, Rym joined Jus Mundi as a Data Scientist. Currently, they hold the position of Machine Learning Engineer at Doctrine, starting in 2022.

Rym Laabiyad completed their primary and secondary education at Lycée Alkhansa from 2012 to 2014, where they pursued Classes préparatoires aux grandes écoles (CPGE) with a focus on MP (Mathématiques et Physique). From 2014 to 2017, they attended Mohammadia School of Engineers, where they pursued general engineering studies, although the specific degree obtained is not mentioned. In 2018, Rym enrolled simultaneously in two institutions: CentraleSupélec and ESSEC Business School. At CentraleSupélec, they pursued a Master's degree in Applied Mathematics, while at ESSEC Business School, they pursued a Master's degree in Management & Business Analytics. These educational experiences reflect Rym's interests in both mathematics and business analytics.

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Timeline

  • Machine Learning Engineer

    October, 2022 - present