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Jeroen BerdenJB

Jeroen Berden

Data Scientist | R & Python | Statistical Analysis

€500/day
Ghent, BE
3-7 years

Average response time: 1 hour

About Jeroen

About me

I help organizations turn complex data into clear, actionable insights.

I am a data scientist with a strong background in quantitative research, statistical modelling, and reproducible analysis in R and Python. I work across domains, supporting projects in analytics, reporting, automation, dashboards, and decision support.

I am particularly comfortable with messy or complex datasets that require more than just standard reporting. This includes data cleaning, exploratory analysis, statistical modelling, workflow automation, and translating results into insights that technical and non-technical stakeholders can use.

My additional background in health, nutrition, and research gives me extra depth when projects involve scientific, medical, or high-stakes data — but I also work more broadly on business and analytical problems outside these fields.

What I can help you with
  • Data analysis in R and Python
  • Statistical modelling and exploratory analysis
  • Data cleaning, transformation, and pipeline development
  • Dashboarding and reporting
  • Workflow automation and reproducible code
  • Translating results into clear business or research insights

How I work

I focus on clarity, reliability, and practical value.
  • Clear communication
  • Fast understanding of new datasets and problems
  • Well-structured and reproducible code
  • Results presented in a clear and decision-useful way
  • Dutch

    Native or bilingual

  • French

    Conversational

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • International Agency for Research on Cancer & Ghent University
    PhD Researcher
    HEALTH AND WELLNESS
    January 2023 - Today (3 years and 5 months)
    Lyon, France
    Worked on complex, high-dimensional datasets in an international research setting, using advanced statistical modelling in R and Python. My work includes data harmonisation, exploratory analysis, reproducible workflows, and the integration of multi-source data such as dietary intake, and metabolomics data.

    Delivered analyses and insights to multidisciplinary teams, with a strong focus on clarity, methodological rigour, and translating complex results into usable conclusions.
    Data Visualization Nutrition Epidemiology Python Writing Big Data
  • Stadsacademie
    Student Worker
    CIVIC AND SOCIAL ORGANIZATIONS
    January 2022 - January 2023 (1 year)
    Ghent, Belgium
    Supported website content, social media, event communication, and organization. Developed hands-on experience in digital communication, coordination, and working across academic and public-sector stakeholders.
    Webdesign Project Management Social media
  • Academics for Development
    Project Coordinator & Developer
    January 2022 - January 2023 (1 year)
    Ghent, Belgium
    Academics for Development is a non-profit organisation realizing social impact in the Global South.


    Coordinated projects, stakeholder communication, workshops, and operational follow-up in a non-profit environment. Built experience in project coordination, communication, and translating ideas into structured execution.
    Project Management Social media Team management Capacity building

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Education

  • Master of science in Nutrition and Rural Development
    Ghent University
    2023
    Magna Cum Laude
  • Bachelor of science in Biology
    Catholic University of Leuven
    2021
    Cum Laude

Skill set

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