Nizam Makdoud

Nizam Makdoud

Data Scientist @ Jellysmack

About Nizam Makdoud

Nizam Makdoud is a data scientist with a background in machine learning, deep learning, and computer vision. He has worked at Thales and Inria, and currently holds a position at Jellysmack.

Work at Jellysmack

Nizam Makdoud has been employed at Jellysmack as a Data Scientist since 2021. His role involves leveraging data science techniques to enhance the company's operations and strategies. Jellysmack focuses on content creation and distribution, and Nizam's expertise in data analysis contributes to optimizing these processes. He works remotely, allowing for flexibility in collaboration with teams across different locations.

Education and Expertise

Nizam Makdoud pursued advanced studies in data science and engineering. He studied at Université Laval from 2016 to 2017, specializing in Machine Learning, Deep Learning, and Computer Vision. Prior to that, he attended Ecole Nationale Supérieure d'Electricité et de Mécanique (ENSEM) from 2014 to 2017, where he earned a Master 2 (M2) in Ingénierie Contrôle des systèmes, automatique. His educational background provides a strong foundation for his work in data science.

Background

Nizam Makdoud has a diverse professional background in data science and engineering. He began his career as a Network System Engineer at Inria in 2016, where he worked for two months. Following this, he joined Thales as a Data Scientist, focusing on Deep Learning and Reinforcement Learning from 2017 to 2021. His experience at Thales equipped him with valuable skills that he now applies in his current role at Jellysmack.

Professional Experience

Before joining Jellysmack, Nizam Makdoud gained significant experience in the field of data science. He worked at Thales for four years, where he specialized in Deep Learning and Reinforcement Learning. His role involved developing algorithms and models that contributed to various projects. Additionally, his brief tenure at Inria as a Network System Engineer provided him with insights into network systems, further enhancing his technical skill set.

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