As a Junior Data Engineer and Scientist, I am enthusiastic about leveraging data, AI, and cloud technologies to solve complex problems and drive innovation. My passion for development and cloud computing fuels my continuous learning and exploration in these dynamic fields.
I hold certifications such as Google Cloud Professional Data Engineer (2024), Google Cloud Professional Machine Learning Engineer (2024), GitHub Foundations (2024), and Terraform Associate, demonstrating my expertise in cloud-based solutions and infrastructure. These certifications reflect my commitment to mastering cutting-edge technologies and delivering impactful solutions.
With a strong commitment to growth and collaboration, I am eager to connect with like-minded professionals and contribute to exciting projects in data, AI, and cloud computing. Let’s innovate and create impactful solutions together!
Septembre 2023 - Septembre 2025
Aubervilliers, France
Veolia is a global leader in environmental services, providing innovative solutions in water, waste, and energy management to promote sustainability and resource efficiency.
Septembre 2023 - Septembre 2025
June 2024 - August 2024
Paris, France
The Gemini API Developer Competition by Google invites developers to create apps using Gemini models, offering up to $260,000 in prizes for the best innovations.
June 2024 - August 2024
May 2022 - Aug 2022
Oslo, Norway
The Risk and Stochastics Department at the University of Oslo focuses on the study and application of risk modeling and stochastic processes, providing advanced research and training to equip engineers and scientists in handling uncertainty and complex systems.
May 2022 - Aug 2022
![]() 2022-2025 Master's Degree in Engineering, specializing in Artificial IntelligenceGPA: 3.8 out of 4Taken Courses:
Extracurricular Activities:
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![]() 2022-2025 Prépa PTSI - PT*Class Ranking: 7 out of 35Taken Courses:
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![]() 2022-2025 Terminal S Science de l'ingénieur - Option InformatiqueBAC: 16.5 out of 20 | ||
This course covers the fundamentals of using Linux for data engineering tasks. You’ll learn how to configure and customize Bash and zsh shells, manipulate data using shell scripting, and build command-line tools for automation. It also includes hands-on labs to manage file systems, search data, and control permissions using Bash and other adjacent tools such as Makefiles and Dockerfiles.
This certification validates expertise in designing and building data processing systems on Google Cloud. Topics include machine learning, data pipeline creation, data storage optimization, and security practices. It emphasizes best practices in handling large-scale data systems and machine learning integration.
This course offers a hands-on introduction to managing infrastructure as code using Terraform on Google Cloud. It guides you through setting up cloud resources, managing infrastructure configurations, and automating infrastructure tasks efficiently. You’ll also learn best practices for handling real-world system design challenges.
This course provides fundamental project management skills, focusing on planning, organizing, and controlling projects efficiently. Participants learn to apply tools and methodologies for handling real-world projects, emphasizing Agile methodologies and the use of modern project management software.