Description

As a highly motivated Data Scientist with over 5 years of experience in an

international environment, I possess a strong background in various Machine

Learning concepts, including computer vision, OCR and GenAI. I have worked with

multiple clouds, such as Microsoft Azure, and programming languages, including

Python. My keen attention to detail and problem-solving skills makes me an

organized and efficient team player. I possess strong communication, teamwork,

and adaptability skills, and I thrive in collaborative environments.

Langues

Anglais
Capacité professionnelle complète
Français
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

EDF R&D
Machine learning Scientist UK
ENERGIE
mai 2024 - Aujourd'hui (2 ans)
Londres, Royaume-Uni
Working with a team of 6 machine learning scientists
Worked on nuclear, thermal and renewables energies use cases.
Development and deployment of a lot of computer vision model and GenAI solutions.
AWS S3 Sagemaker Computer Vision Natural Language Processing (NLP) GenAI Python
Technip Energies Corporate
Data Scientist / Lead Data Scientist
ENERGIE
mars 2022 - mai 2024 (2 ans et 3 mois)
Nanterre, France
Leading a team of 2 to 3 data scientists in an international environment.
Worked on multiple topics (Computer Vision, OCR, NLP, Classification…) with different inputs (videos, images, PDFs and Tabular Data).
Deployment of different solutions(ex: Kubernetes clusters, azure apps..).
Co-presenter in “The Big Data & AI Paris congress” for its12th edition.
6 months of platform training/comparison, it includes: Azure ML studio, Dataiku and RapidMiner.
Microsoft Azure Azure DevOps Dataiku OCR Computer Vision Gestion de projet Communication Generative AI Team Leadership
Eurailscout france
AI engineer
TRANSPORTS
février 2021 - février 2022 (1 an)
Paris, France
As part of computer vision project "Automated processing of
track defects based on neural networks" in conjunction with
SNCF partner, these points were covered:
Improvement of current solution and performance
evaluation.
Preparation and implementation of industrialization process.
Development of new services for the detection of
vegetation and recognition of writings on rail images.
Python Deep Learning computer vision GPU Git Microsoft Azure