Noé Vernier

Computer Science and Applied Mathematics student at Télécom paris and currently enrolled in the MVA Master’s program at ENS Paris-Saclay.

Paris, France, CET

NV

About

As an Applied Mathematics student at Télécom Paris, currently pursuing the MVA Master’s program at ENS Paris-Saclay, I am passionate about machine learning and its mathematical foundations. With strong proficiency in Python, I specialize in leveraging libraries like PyTorch, TensorFlow, and scikit-learn to develop advanced AI models. My focus spans machine learning, computer vision, and data analysis, where I aim to apply cutting-edge techniques and statistical modeling to solve complex problems and drive innovation in AI.

Work Experience

Edo Theory
Internship
Hedge Fund

jul 2024 - aug 2024

Quantitative Researcher Intern

Collaborated with a team of quantitative researchers to develop and implement trading strategies, leveraging machine learning and statistical modeling using Order Book data. Conducted backtesting and performance analysis to optimize strategies and enhance profitability.

Rezel AI
Club

2023 - 2024

Treasurer

Established a student association devoted to championing AI and machine learning, directing informative workshops spanning machine learning, deep learning, and computer vision topics

Secretary General

Key member of an association fostering connections between students and professionals in finance, business, and entrepreneurship. Orchestrated and guided workshops centered on quantitative finance and blockchain, providing practical, hands-on experience to participants.

SOeMAN
Internship

2023 - 2023

AI Developer Intern

Led the creation of a conversational agent by leveraging state-of-the-art language models such as LLMs and BERT. Received commendation from stakeholders for enhancing user experience and optimizing CRM operations.

Education

ENS Paris-Saclay

2024 - 2025
MSc in Applied Mathematics, Master MVA

Télécom Paris, Institut Polytechnique de Paris

2022 - 2025
B.S. in Computer Science and & Engineering, MSc in Applied Mathematics

Lyceé Blaise Pascal

2020 - 2022
B.S. in Mathematics & Physics

Skills

Data Science
Machine Learning
Deep Learning
Computer Vision
LLMs
BERT
PyTorch
AI Strategy
Quantitative Finance
Transformers

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