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datanalyze Statistics & data science
Statistical consulting and training

Your data deserves a solid analysis

I hold a PhD in statistics and support researchers, professionals and companies in analysing their data — from choosing the method through to results you can defend.

Expertise

What I actually do

A dual academic and industry background: the methodological rigour of research, applied to questions that have to be settled.

Statistics & probability

  • Descriptive statistics: univariate and bivariate summaries, correlation
  • Hypothesis testing and confidence intervals
  • Linear and logistic regression, mixed models
  • Survival analysis and multi-state models
  • Sample size and statistical power
  • Study design and protocols

R programming

  • R scripts: writing, taking over, debugging, optimising
  • R Markdown and Quarto for reproducible reports
  • R Shiny applications and dashboards
  • Building and publishing R packages
  • Setting up reproducible projects
  • Code review and skills transfer

Data science

  • Cleaning, merging and preparing data
  • In-depth exploration and descriptive analysis
  • Predictive models and scoring
  • Segmentation and persona building
  • Visualisation with ggplot2
  • Automating recurring reports
Portrait of Antoine Soetewey, statistics and data science consultant

About

Antoine Soetewey

I hold a PhD in statistics (UCLouvain). I was a postdoctoral researcher in data science and statistics at HEC Liège and UCLouvain Saint-Louis Brussels, and I teach statistics and probability as an invited lecturer at UCLouvain and UNamur.

That combination is what makes the difference on an assignment: I know these methods closely, having developed and published them; and I am used to explaining them to people who are not statisticians, because I teach them every week.

Under the name datanalyze, I put that expertise to work for researchers, professionals and companies. Since the analysis is done remotely, I work just as easily in Belgium, where I am based, as abroad.

Why me

What you can expect from working together

A defensible method

The test fits your data, its assumptions are checked, and you can justify the choice to a committee, a reviewer or a client.

Explanations you can follow

Teaching is half my job. You do not get raw software output, but results explained in your own language.

Reproducible work

Commented scripts, analyses that rerun identically. If your data changes or a reviewer asks for a variant, updating takes minutes, not weeks.

Confidentiality and full handover

Code, documents and results produced during the assignment are transferred to you in full, and to you only. Your data is used for nothing else.

A dataset to analyse, a method to validate?

Describe your need in a few lines, or book a first no-commitment call. I will tell you straight if I am the right person for it.