About Me
Data & AI Student interested in Software Engineering and new technologies.
Hello! I'm Ethan, a passionate student pursuing a Master's in Data & AI at ECE Paris. Currently based in Paris, I'm dedicated to creating innovative solutions using nowadays technologies and different programming languages.
My journey in technology began with my studies at ECE Paris, where I developed a strong foundation in mathematics (statistics, probability, linear algebra), programming (C, Python, Java), and web development. During my exchange at Omnes Education London School, I expanded my expertise in finance, management, and machine learning, including a notable project developing a facial recognition system using MATLAB that could identify individuals from a database of 500 images.
Beyond my technical pursuits, I'm actively involved in community service as a Director at Moadon, where I organize activities for youth (ages 8-17) and manage teams of animators. I'm also passionate about music (piano), sports, and exploring new cultures through travel.
Skills & Expertise
Programming & Development
Core programming languages and development tools
Data Science & AI
Data analysis and machine learning expertise
Web Technologies
Full-stack web development technologies
Mathematics
Strong mathematical foundation for data science
Languages
Professional communication skills
Leadership & Soft Skills
Professional and interpersonal capabilities
Education & Certifications
ECE Paris
Master DATA & IA (2024–2026)
Advanced studies in databases, data visualization with Python, machine learning, business intelligence, operating systems, and applied mathematics for data.
ECE Paris
Cycle Préparatoire (2021-2024)
Focus on Mathematics (statistics, probability, linear algebra), programming (C, Python, Java), full-stack web development (HTML, JavaScript, CSS), and physics.
Omnes Education London School
Exchange Program (Sept–Dec 2023)
Studied finance, management, mathematics, Python, machine learning, and data visualization. Developed a facial recognition system using MATLAB that could identify individuals from a database of 500 images.