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AI Engineer with less than a year in Machine Learning & Data Science
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Data Scientist Junior & IA Engineer with 11 months of experience in developing and optimizing multimodal AI pipelines, data analysis, and IT consulting. Skilled in Machine Learning, Deep Learning, NLP, and Big Data technologies. Adept at transforming complex data into actionable insights and deploying end-to-end solutions.
Université de Lorraine & ENS Mines Nancy
M2 - Mathématiques et applications PT · Ingénierie mathématique pour la science des données
August 1, 2024 – June 30, 2025
INP ENSEM Nancy
Diplôme d'ingénieur · Systèmes Numériques
August 1, 2022 – June 30, 2025
Lycée Mohammed V
CPGE MPSI/MP* · Mathématiques et Physique
June 1, 2020 – May 31, 2022
Lycée Ibn Abbad
Baccalauréat Sciences Mathématiques · Sciences Mathématiques
June 1, 2019 – May 31, 2020
LINCOLN
Data Scientist / IA Engineer
March 1, 2025 – September 1, 2025
Toulouse, Occitania, France
Caisse Nationale de Sécurité Sociale
Data Analyst Power BI
July 1, 2024 – August 1, 2024
India
MEGACOMPETENCES Consulting
Consultante IT
July 1, 2023 – August 1, 2023
India
Vision par ordinateur pour véhicules autonomes
June 29, 2026 – Present
Conception d'un système de détection et reconnaissance de panneaux de signalisation basé sur CNN et OpenCV, permettant l'augmentation de la sécurité de navigation.
Classification d'images par deep learning
June 29, 2026 – Present
Entraînement de réseaux de neurones convolutifs pour classifier automatiquement des images de feuilles, démontrant la capacité à gérer un projet de computer vision end-to-end.
Cybersécurité et IA
June 29, 2026 – Present
Développement d'un outil d'aide à la correction de vulnérabilités logicielles via LLM, APIs et interface web, améliorant la robustesse et la sûreté des applications critiques.
Optimisation de files d'attente markoviennes
June 29, 2026 – Present
Analyse mathématique et simulation numérique de trois systèmes de files d'attente afin de réduire le temps d'attente moyen.
Modélisation prédictive socio-économique
June 29, 2026 – Present
Développement de modèles de machine learning (régression, forêts aléatoires) pour analyser un dataset sur les milliardaires et prédire les facteurs influençant leur richesse.
Cultural Fit Analysis
The candidate's diverse academic projects, ranging from socio-economic predictive modeling to cybersecurity with AI and autonomous vehicle vision, demonstrate a broad interest and adaptability to different problem domains. The professional experiences, though short-term, show exposure to different organizational contexts (consulting, public sector, private company). The target role of 'AI Engineer' aligns well with the candidate's academic focus and project experiences, particularly the 'Data Scientist / IA Engineer' role at LINCOLN. The breadth of technical skills also suggests a willingness to learn and apply new technologies.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, interdisciplinary projects, suggesting good problem-solving and collaboration skills. The academic projects and professional experiences show a structured approach to development and an understanding of project lifecycle, from conception to deployment and evaluation. The 'Consultante IT' role also highlights experience in requirements gathering (BPMN) and UX/UI prototyping, which are valuable for understanding user needs and project scope.