Mohammed EL-KHOU
Data Engineer | Big Data Developer | R&D ML/AI
Salaire / Taux journalier
Paris, France
Mobilité : Paris
Freelance
À distance uniquement
Expertises
Langues
À propos
Introduction
Highly accurate Data/Cloud Engineer| Big Data Developer | Data Scientist adept at collecting, analyzing, and interpreting large datasets, developing new Deep Learning models, and performing data management tasks. Possessing extensive analytical skills, strong attention to detail, and a significant ability to work in team environments. Having 6 years of work experience through data science and data engineering. Looking for new opportunities for Data Engineer | Big Data Developer | AI/ML position.
Expérience de travail
Data Engineer
RMC BFM ADS
janv. 2024 - Présent
2 ans 10 mois
Paris, France
Big Data Developer
BPCE Solutions informatiques
août 2022 - janv. 2024
1 an 6 mois
Villeneuve-d'Ascq, France
Imperium
oct. 2020 - août 2022
1 an 11 mois
Casablanca, Maroc
Data Engineer | R&D ML/AI Engineer
juin 2021 - août 2022
1 an 3 mois
Casablanca, Maroc
Data Scientist | AI Engineer | Computer Vision Engineer
oct. 2020 - juil. 2021
10 mois
Casablanca, Maroc
Data Scientist | Computer Vision Engineer
3WM
mars 2020 - août 2020
6 mois
Casablanca, Maroc
Détection et reconnaissance des objets (Marque, logo, forme, etc.) dans les écrans publicitaires sur un flux TV . Etude comparative entre les algorithmes d'état de l’art de Détection d'objets (YOLO, RetinaNet, Faster R-CNN, Mask R-CNN, Cascade Mask R-CNN...) (Python(Jupyter), Image Mining , Computer Vision, Object Detection, Detectron2, Tensorboard)
Formation
Université Sorbonne Paris Nord
Master 2 (M2), Data Science and Artificial Intelligence (EID² course)
Activités et associations : Université Paris 13 - Institut Galilée, France
This training offers a double degree between Sidi Mohamed Ben Abdellah University - Fez, Morocco and Paris 13 University (‘Galilée’ Institute, ‘Sorbonne Paris Nord’ University) - Paris, French. Thanks to my double degree, I benefited from an innovative, polyvalent and multidisciplinary training. Driven by a pioneering mindset, leadership and determination. Content of M2 training: - Semester 3: M1: English II M2: Web mining & Image mining M3: Data Mining (in partnership with UP 13) M4: Data Warehouse (in partnership with UP 13) M5: Business intelligence (in partnership with UP 13) M6: Machine learning (in partnership with UP 13) - Semester 4: INTERNSHIP or MEMORY
Université Sidi Mohammed Ben Abdellah-Fès
Diplôme d'études universitaires générales (DEUG), Sciences Mathématique et Informatique
Résultat : Assez Bien
Lycée EL ADARISSA Fés
Baccalauréat, Sciences Mathématiques Option(B)
Résultat : Assez Bien
Université Sidi Mohammed Ben Abdellah-Fès
Bachelor Degree, Mathematic and Computer Science
Résultat : Assez Bien
This innovative and multidisciplinary training allow the students concerned to acquire a good foundation in the fields of mathematics (pure and applied) and computer science. In particular, it make it possible to: 1- Develop students knowledge in fundamental computer science, physical mathematics, languages and communication. 2- Prepare students for master's, doctorate and engineering degrees. 3- Prepare students to integrate working life in the fields corresponding to their training.
Université Sidi Mohammed Ben Abdellah-Fès
Master, Web Intelligence and Data Science
The WISD Research Master aims to give students a depth training in fields related to computer science and data science. It groups its courses in coherent arrangements ranging from the fundamentals of the discipline to the most advanced techniques; but also additional teaching for a better integration of students within companies.
Licences et certifications
AWS S3 Basics
Délivré le : août 2024
AWS Cloudfront: Serve content from multiple S3 buckets
Délivré le : août 2024
Introduction to Big Data with Spark and Hadoop
Délivré le : févr. 2024
Hadoop Platform and Application Framework
Délivré le : juil. 2022
ETL and Data Pipelines with Shell, Airflow and Kafka
Délivré le : juin 2022
Introduction to Big Data
Délivré le : mars 2022
Functional Programming Principles in Scala
Délivré le : mars 2022
Neural Networks and Deep Learning
Délivré le : mars 2020
Data Analysis Track
Délivré le : janv. 2020
Python for Data Science
Délivré le : nov. 2019
Machine Learning with Python
Délivré le : nov. 2019
Machine Learning with Python
Délivré le : nov. 2019
Data Visualization with Python
Délivré le : nov. 2019
Data Analysis with Python
Délivré le : nov. 2019
Applied Data Science with Python - Level 2
Délivré le : nov. 2019
Python 101 for Data Science
Délivré le : oct. 2019