Freelancer profile translated to English.
Back to original languageAbout Axel
I have a degree in Data Science (BUT) and I am currently pursuing a Master's degree in Biostatistics and Bioinformatics. This dual background allows me to be comfortable with both "classic" data (business, reporting) and data from research projects.
I enjoy working on well-defined projects with a precise objective and discussing with the client about the expected deliverables. I can adapt quickly based on user feedback and be proactive in best leveraging the data and analyses produced.
I pay particular attention to the rigor of the methods used and always explain the results in an accessible way.
I mainly work with Python and R for data processing and analysis, and I am comfortable with visualization and reporting tools (Power BI, Tableau, Shiny).
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 15km)
Experience
- GUERBETWork-study data analyst - Quality AssurancePHARMACEUTICALS INDUSTRYAugust 2024 - July 2025 (11 months)La Rochelle, FranceOne-year work-study program in the pharmaceutical/chemical industry with the following tasks:
- Development and improvement of quality indicators
- Dashboard creation
- Automation and optimization
- Familiarization with the pharmaceutical industry
Scientific rigor, analytical skills, adaptability, understanding of regulatory issues in the pharmaceutical industry - University of Turku (Finlande)Microbiome - Research Assistant - Data scienceRESEARCHApril 2024 - June 2024 (2 months)Turku, Finland3-month internship at the University of Turku (Finland) in a microbiome research team, with the following tasks:
- Development of an R package for microbiome analysis
Implementation of new features- Bug fixes
- Creation of an introductory workflow to the "miaverse" package First approach in Bioinformatics
First approach in Bioinformatics, scientific rigor, teamwork, autonomy, software development, scientific communication
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Education
- Master in Bioinformatics and Biostatistics (BIBS)Université Paris SaclayL'objectif principal est de doter les étudiants des outils nécessaires pour l'analyse et la modélisation des données massives (Big Data) en biologie. Pour cela, les étudiants vont progressivement acquérir la maîtrise de plusieurs langages de programmation ainsi qu’un certain nombre de méthodes d'algorithmique, de bases de données, d'intelligence artificielle, de statistiques et de mathématiques. Ils vont par ailleurs approfondir les différents domaines clés de la bioinformatique tels que la biologie des systèmes, la biologie structurale, la génomique fonctionnelle.
- BUT in Data Science - Statistical Exploration and ModelingUniversité de Poitiers2025Le BUT science des données forme des spécialistes capables d’aider à la prise de décision par des activités de gestion des données (data management), de programmation et d’analyse statistique, et de restitution. Les élèves apprennent à collecter des données, à s’assurer de leur qualité, à les stocker dans des bases de données structurées en vue de les analyser et de les exploiter, en utilisant notamment des analyses statistiques, pour produire des outils décisionnels.