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Mohamed Jabri has held various positions in the technology field since 2017. In 2017, they were a Chef comit\u00e9 IT at Club MIndS-TA and a Stagiaire at Kromberg & Schubert. In 2018, they were an Ing\u00e9nieur stagiaire at JECRC University, where they designed and implemented an expert system for diabetes diagnosis. In 2020, they were a Data Science Intern at Cognira, where they worked on creating a recurrent neural network (RNN) for demand forecasting in the retail domain. Mohamed also benchmarked with both holt winters and linear regression models to prove the efficiency of RNN in a time series and retail context. Currently, they are a Data Science Engineer at Cognira.

Mohamed Jabri's education history includes attending Lycée Mixte Beja from 2010 to 2014, where they obtained their Baccalauréat in Mathématiques. Mohamed then attended IPEIT - Institut Préparatoire aux Etudes d'Ingénieurs de Tunis in 2014, studying Mathématiques physiques. From 2016 to 2020, they attended Ecole Nationale d'Ingénieurs de Tunis, studying Mathématiques appliquées. Additionally, Mohamed Jabri has obtained several certifications, including Coursera - Getting Started with TensorFlow 2 from Imperial College London in May 2021, DSE200x: Python for Data Science from University of California San Diego in August 2019, PYTHON FOR DATA SCIENCE: INTERMEDIATE from Dataquest.io in May 2019, and PYTHON FOR DATA SCIENCE: FUNDAMENTALS from Dataquest.io in January 2019.