Fidèle Bognounou
Senior R Statistician | Ecological & Environmental Data Science | GAMLSS · GLLVM · GAM · LLM in R
À propos
I am a forest ecologist and quantitative data scientist with extensive experience in advanced statistical modeling applied to ecological, biological, and environmental data. My work sits at the intersection of academic research and applied data consulting — I design analyses, build models, and deliver results that are publication-ready and directly actionable.
My core expertise is in R, where I apply methods such as GAMLSS, GLLVM, GAM, GLM, PERMANOVA, and Random Forest to complex ecological and multivariate datasets. I also integrate Large Language Models (LLMs) with R workflows to automate reporting, accelerate analyses, and build reproducible pipelines using tools like Positron and Quarto.
On the research side, I have a strong track record of producing scientific manuscripts at a high standard, including work submitted to top-tier journals such as Forest Ecology and Management. I can take a dataset from raw exploration through statistical modeling to a fully written Results and Methods section — rapidly and rigorously.
I work in both French and English and serve clients across academia, government agencies, NGOs, and environmental consulting firms. Whether you need a complex model built, a dataset analyzed, or a scientific report written, I bring the precision of a researcher with the efficiency of a consultant.
Compétences
Langues
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Informations clés
Mode de travail
Remote
Durée de la mission
1 to 3 months
Localisation
Quebec City, QC
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