Freelancer profile translated to English.
Back to original languageAbout Hervé
Welcome!
Many companies want to leverage their data or integrate artificial intelligence, but don't always know where to start.
I support organizations in structuring and framing their data and AI projects, intervening upstream of technical developments, where project success and profitability are decided.
My role is hybrid:
to bridge the gap between business needs, data, and technical teams, in order to transform vague intentions into clear, feasible, and value-creating projects.
What I bring you:
- Facilitation of framing and discovery workshops
- Collection, analysis, and reformulation of user needs
- Business process modeling
- Identification of relevant data sources
- Data framing and data maturity assessment
- Formalization of AI use cases
- Challenge of technical feasibility and business value
- Translation of functional needs into data/tech specifications
- Interface between business and technical teams
Result: a solidly structured data/AI project, ready for efficient development.
Dual business & data expertise:
- My background in applied mathematics, statistics, and data science, combined with experience in scientific and analytical environments, allows me to:
- Understand complex issues
- Structure projects with rigor
- Communicate with both decision-makers and technical teams
- Simplify data/AI topics to facilitate decision-making
Technical foundation
Python • SQL • R • Machine Learning • Statistics • Data visualization (Power BI / Streamlit / R Shiny)
Languages
French: native
English: professional
My promise
To help you lay the right foundations for your data and AI projects, to avoid deviations, accelerate decisions, and maximize business impact.
📩 Contact me for an initial framing discussion.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- ANSESStatistical Application Developer | Data ScientistPUBLIC SECTORApril 2024 - September 2024 (6 months)Maisons-Alfort, FranceDesign and deployment of an interactive statistical analysis web application, intended to automate complex scientific evaluation workflows in a regulatory context.My involvement covered:
- Collection and formalization of user needs (scientific experts and analysts)
- Translation of functional needs into technical specifications
- Development of an R Shiny application, then migration to Streamlit to improve portability and scalability
- Integration of advanced statistical tests (endpoint reliability, power calculations, protocol validation)
- Provision of a decision-support tool compliant with scientific and regulatory standards
Result: automation of critical analytical processes, reliable decisions, and significant time savings for expert teams. - ICTAData Manager | Clinical Study AnalystRESEARCHSeptember 2020 - January 2021 (5 months)Fontaine-lès-Dijon, FranceManagement of data management and structuring for an international clinical study on probiotic use.
- Structuring of study data and definition of validation plans (DVP, SAP)
- Data cleaning, quality control, and analysis using SAS
- Production of statistical analyses to inform medical decisions
- Interaction with medical teams to translate scientific challenges into operational analysis plans
Result: reliable data, robust analyses, and direct support for clinical decision-making. - CPAMStatistical Study Officer | Health Data AnalystPUBLIC SECTORFebruary 2021 - June 2021 (5 months)Rennes, FranceCreation of a typology of teleconsultation users during the first lockdown, based on SNIIRAM and SNDS databases.I conducted in-depth statistical and spatial analyses to produce strategic public health insights. The project included extracting and cleaning health data, as well as using tools such as R, SPAD, Excel, Business Objects, and QGIS to generate impactful visualizations and actionable recommendations.
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Education
- Master of Applied Mathematics (Specialization in Statistical Engineering & Data Science)University of Nantes2024Formation avancée en modélisation statistique, machine learning et gestion de projets data, orientée vers la transformation de problématiques complexes en solutions opérationnelles. Axes principaux : 1) Techniques modernes de machine learning 2) Modélisation et prévision de séries temporelles 3) Méthodes bayésiennes 4) Gestion et traitement de grands volumes de données 5) Compétences transverses : communication, gestion de projet, entrepreneuriat Apport pour mon activité : Capacité à dialoguer avec des équipes techniques, challenger des choix méthodologiques et proposer des solutions data/IA réalistes et adaptées aux besoins métier.
- Professional Bachelor's Degree in Biostatistics – Statistics & IT Applied to HealthUniversity of Caen Normandy2022Formation spécialisée en analyse de données, structuration de bases et méthodes statistiques appliquées, avec une forte orientation projet et métier. Axes principaux : 1) Probabilités, statistiques descriptives et inférentielles 2) Exploration et structuration de données 3) Modèles statistiques et séries temporelles 4) Analyse multivariée et modèles généralisés 5) Méthodes avancées : plans d’expériences, tests non paramétriques, modèles de survie 6) Introduction au machine learning appliqué 7) Outils : SQL, SAS, R, Python Apport pour mon activité : Solide maîtrise du cadrage data, de la qualité des données et de la traduction d’enjeux métier en plans d’analyse opérationnels.