About Omar
Data Scientist diplômé de CentraleSupélec en mathématiques appliquées avec 2 ans d'expérience professionnelle. J'ai travaillé pendant 2 ans en tant qu'alternant data scientist sur des projets de data science de bout-en-bout.
De plus, j'ai travaillé sur plusieurs projets de Machine learning, A/B testing, NLP, time series, ainsi que sur des analyses statistiques de fond.
Je maitrise le langage python et ses librairies (numpy, pandas, sklearn, pytorch, tensorflow...) ainsi que PostgreSQL.
Voici un aperçu des derniers projets que j'ai réalisés :
- Automatisation de l'extraction des informations à partir de documents de jurisprudence (classé premier dans le challenge data Collège de France).
- Hybridation d'un modèle physique de simulation des performances des pneus avec un modèle "composite neural network" pour une meilleure et moins coûteuse prédiction.
- Réalisation d'un modèle de prédiction des achats des clients dans les 15 prochains jours pour un leader de l'e-commerce.
English
Fluent
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- MichelinData ScientistSeptember 2019 - September 2020 (1 year)Metz / Clermont-Ferrand-Hybridization of Multi-fidelity tire models for real time simulation, using Deep learning and co-Kriging methods.
- MichelinData scientist in the ETN teamSeptember 2018 - September 2020 (2 years)Région de Clermont-Ferrand, France-Use of machine and deep learning algorithms to predict the error between the results of finite elements simulations and measurements for some dimensional quantities of tires. -Organization of meetings with several tire developers to request access to their data, and to convince them of the utility of the project. -Performing statistical studies and sensitivity analysis for several types of data. -Programming of a pipeline to extract data from simulation files and measurement reports. -Programming an algorithm that runs multiple finite elements simulations on clusters using bash language. -Presentation of the study's results to worldwide Michelin's tire analysts.
- Nokia Bell Labs5G compliance engineerSeptember 2017 - September 2018 (1 year)Région de Paris, FranceTelecommunications/ Electromagnetism/ Statistics: -Massive MIMO 5G antennas modelling -Defining conformity perimeters for RF exposure according to international norms and standards -Performing statistical approaches for the assessment of human exposure to radiations
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Education
- Master of Engineering - MEng (Diplôme d'ingénieur Supélec)CentraleSupelec2020Relevant coursework: Final year: - Probabilities and statistics, statistical learning, bayesian estimation. - Machine and deep learning. - Statistical signal processing, spectral modelling. - Optimization and numerical methods. - High performance computing. - Robotics. Core curriculum; -Numerical Methods and Optimization, Probability, Statistics, Stochastic Processes. -Automation, Control Theory, Electrical Engineering, Electronics, Electromagnetics, Quantum Physics. -Business Economics, Corporate Law, Macroeconomics, Microeconomics, Project Management. -Algorithms and Data Structures, Big Data, Operating Systems and Networks, Software Engineering.
- preparatory classes MPSI/MP*CPGE Lycée Mohamed V Casablanca / CPGE Lycée Moulay Youssef Rabat2 years of intensive preparation in STEM for the highly competitive entrance exams to the French and Moroccan Grandes Ecoles. Besides STEM classes, I studied philosophy, French litterature, and translation (Arabic, English, French).