📝 Bio

Efficient and autonomous, I am a Data Scientist with over 2+ years of experience in developing deep learning models and building end to end ML/Data Pipelines. Over the past two years, I have contributed to 4+ projects, three of which have been successfully deployed in production at Swisscom, serving over 15k+ employees.

My academic journey began outside Marseille with a Preparatory Class for the ‘grandes écoles’ at Lycée du Parc in Lyon, where I rigorously studied mathematics, physics, chemistry, and applied mechanics. After two intense years, I joined CentraleSupélec Paris-Saclay University in Paris. There, I focused on statistics, optimization, quantum physics, and fluid mechanics, earning my Bachelor’s degree in Science. I then pursued a dual degree with EPFL in Switzerland, focusing on deep learning, statistics, and optimization. In April 2023, I graduated with Master’s degrees in Science from both EPFL and CentraleSupélec.

Alongside my studies, I was intern at Procsim, where I developed meta-heuristic algorithms to optimize operating room schedules in hospitals. I also actively participated in various student associations, such as SBCS and CS Design.

In September 2022, I joined Swisscom for my master’s thesis, and in June 2023, I transitioned into a Data Scientist - ML engineer role within the Data Analytics & AI department.

After two years at Swisscom, I embarked on a new chapter as an MLOps Engineer at Moonpig. In this role, I focus on streamlining the Data Science team’s workflows by automating machine learning jobs and deployment pipelines.

You can find more information about my experience and the projects I conducted in my Resume.

📘 Teaching

Throughout my academic journey, I’ve enjoyed teaching and had the privilege of assisting in the following courses:

• Advanced Machine Learning taught by Professor Aude Billard at EPFL, where I helped students grasp advanced ML concepts and supervised projects (~ 30 students).
• Applied Machine Learning taught by Professor Aude Billard at EPFL, where I assisted students in understanding fundamental ML concepts (~ 100 students).
• Quantum & Statistical Physics taught by Professor Jean Michel Gillet at CentraleSupélec, where I taught the basics of quantum physics and prepared short exams for the students (~ 30 students).

🏅 Awards

• Highest GPA of the Microengineering/Data Science department: 5.78/6. EPFL Master’s graduating class of 2023.
• French Baccalaureate with the Jury’s congratulations, achieving an average grade of 19.18/20.