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Thibault B.TB

Thibault B.

Data Analyst | Data Quality | Python/SQL | PowerBI

€500/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Thibault

Need to clean data, structure it for analysis, or produce reliable reporting?

I can help you transform raw or heterogeneous data (files, databases, APIs) into clean, consistent, and directly usable datasets for analysis, visualization, or reporting.

I am a Data Analyst specializing in Data Quality, data preparation, and visualization, with expertise covering:
• data extraction and consolidation (exports, APIs, SQL databases),
• automated enrichment via API (Sirene, ORCID, IdRef, PubMed),
• initial normalization and consistency of formats,
• data quality audit and formulation of methodological recommendations,
• advanced reliability (duplicates, business rules, identifiers),
• structuring of analytical tables ready for analysis,
• setting up lightweight ELT pipelines (Python + DuckDB + SQL) to automate transformations,
• and creating interactive and reliable reports in Power BI.

With an engineering background, a PhD in biomechanics and bioengineering, and a DU in bioinformatics and data management, I bring a rigorous, clear, and methodical approach.

Depending on the need, the intervention can be limited to a specific step (cleaning, enrichment, visualization) or cover the entire processing, up to the final deliverable: structured file, analytical table, or visualization report.

Packages can be offered for short assignments (€300–€900), covering data cleaning, identifier reliability, API call automation, data preparation for Power BI, and production of interactive visuals or reports.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Agence Nationale de la recherche (ANR)
    Data Analyst | Scientific Project Manager
    November 2014 - Today (11 years and 7 months)
    Paris, France
    At the National Research Agency (ANR), I work as a Data Analyst responsible for the quality, structuring, and analysis of complex data (administrative, operational, and scientific).

    I develop Python scripts for data cleaning, normalization, and enrichment, particularly through external APIs (Sirene, ORCID, IDRef, PubMed). I integrate and transform heterogeneous sources using lightweight ELT pipelines (Python + DuckDB/SQL) to produce tables directly usable for analysis or visualization.

    I also serve as an internal referent for data quality and automation, with advanced expertise in administrative (SIRET) and researcher (ORCID/IDRef) identifiers, as well as in the reliability of large databases.

    As an engineer and PhD holder, with a DU in bioinformatics, I bring a rigorous, methodical, and reliability-oriented approach to ensure robust and reproducible analytical processing.
    Python SQL ELT REST APIs Data analysis
  • Université de technologies de Compiègne (UTC)
    PhD in Biomechanics and Bioengineering
    October 2011 - October 2014 (3 years)
    As part of my PhD, I developed an innovative microfluidic platform to model in vitro intestinal and hepatic interactions. This project combined microfluidics, cell culture, and pharmacokinetics, with the aim of improving the physiological relevance of in vitro models.

    This experience provided me with a solid scientific methodology, strong analytical skills, and the essential rigor for managing complex projects.

    Skills used:scientific rigor, experimental analysis, methodology, project management.
    Critical analysis scientific rigor Project management Technical documentation Synthesis

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Education

  • University Diploma – Bioinformatics & Data Management
    Université Paris Cité
    2018
    Formation axée sur la gestion de bases de données, la manipulation de sources documentaires informatisées, l’introduction à la programmation et les fondamentaux de l’analyse statistique. Ce DU m’a apporté des compétences solides en organisation, structuration et traitement de données, essentielles à mes activités de data analysis. Compétences mobilisées : data management, bases de données, programmation, statistiques
  • Agronomy Engineer
    Ecole Nationale Supérieure d'Agronomie et des Industries Alimentaires (ENSAIA)
    2011
    Formation en biotechnologies appliquées, incluant bioprocédés, biomolécules et innovation en sciences du vivant. Cette formation m’a apporté une solide méthodologie scientifique, une capacité d’analyse structurée et une rigueur technique que j’applique aujourd’hui dans mes activités de data analysis. Compétences mobilisées : méthodologie scientifique, analyse, rigueur, gestion de projets techniques.

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