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Pinel DAHOUI
About

Pinel Baudelaire DAHOUI

Data Scientist & AI Researcher · Cotonou, Benin

I help companies, institutions and researchers get clear answers from their data. Alongside, I do research on trustworthy AI, blockchain and digital twins.

Portrait of Pinel Baudelaire DAHOUI

My story

I am a statistician by training. After a bachelor's in econometrics and applied statistics at the University of Abomey-Calavi, I completed the Master's in Mathematics, Economics and Statistics at the African School of Economics, then the Master's in mathematical statistics applied to life sciences at CIPMA – UNESCO Chair.

Since 2021, I have applied these methods to concrete projects: analyses for companies and NGOs, statistical studies for research, thesis supervision and field data collection. My work spans health, finance, agriculture and the environment.

My conviction: mathematics, data and algorithms are not reserved for a few. They should serve our problems, on our continent. That is also why I share what I learn through science outreach articles.

My approach

Three principles guide my work

Statistical rigour

Methods suited to the data, checked assumptions, explained uncertainty. A good model is first of all a model whose limits you know.

Useful results

Every analysis answers a precise question and leads to a decision. Deliverables are documented, reproducible and understandable by your teams.

Sharing knowledge

Training, thesis supervision since 2021, outreach articles: making science accessible is part of my job.

Recognition

Research paper and awards

Research paper · 2026

Blockchain-Certified AI for Pneumonia Detection: An Auditable Architecture for Trustworthy Chest X-Ray Diagnosis

YRC 2026 – Young Researchers' Community, vol. 1, no. 3, pp. 34–58. Africa Centre of Excellence in Blockchain Research, 27 February 2026.

Silver medal

AirQo African Air Quality Prediction Challenge

PM2.5 prediction in 8 African cities from satellite data, with gradient boosting models.

See the project
Outreach

40 science outreach articles

How mathematics, data and AI are transforming health, finance and agriculture, in Africa and beyond.

Read the blog
Background

Education and experience

  1. 2026 · Research paperA blockchain architecture to certify AI-based medical diagnosesAfrica Centre of Excellence in Blockchain Research · Young Researchers’ Community
  2. 2024 – 2026Master’s in mathematical statistics applied to life sciencesCIPMA – UNESCO Chair · Abomey-Calavi
  3. 2022 – 2024Master’s in Mathematics, Economics and StatisticsAfrican School of Economics · Abomey-Calavi
  4. 2023 – 2024Certifications: data science & AI, project monitoring and evaluation, high-performance computingAfrica TechUP Tour · Simplilearn × Brown University · Campus AFD (French Development Agency) · IMSP Dangbo
  5. Since 2021Research assistant and data analystFreelance · thesis supervision, analyses, dashboards
  6. 2018 – 2021Bachelor’s in econometrics and applied statisticsFASEG, University of Abomey-Calavi
Skills

My toolbox

Statistics and econometrics

  • Econometrics
  • Time series (ARIMA, GARCH)
  • Survival analysis (Cox, frailty models)
  • Spatial statistics
  • Experimental design
  • Testing and inference

Machine learning and AI

  • scikit-learn
  • XGBoost
  • LightGBM
  • TensorFlow
  • PyTorch
  • Computer vision
  • Natural language processing (NLP)

Data and tools

  • Python
  • R
  • SQL
  • Stata
  • LaTeX
  • KoboCollect / ODK
  • High-performance computing

Research interests

  • Trustworthy AI
  • Blockchain
  • Digital twins
  • Epidemiological modelling
  • Biostatistics

Got a data project in mind?

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