Data Analyst
I analyze data and build the tools that put it to work. From statistical simulation to production applications, with a real appetite for data applied to sport.
Three angles on the same craft: statistical simulation, sports-performance analysis, and decision-support tooling.
The first 48-team World Cup rewrites the rules for third-place teams. I ran 50,000 simulated group stages to quantify a threshold nobody had calculated: sometimes, a single win is enough to reach the knockout rounds.
A statistical stress-test of football's most-repeated cliché, across 70,000 shots and 10 competitions. Seven cross-checked methods, from event studies to a Bernoulli null model. Verdict: the myth doesn't survive contact with the data.
A composite index tracking F1's predictability season over season since 2008 — built to separate a fan's gut feeling from an actual, measurable trend.
Interactive visualization of a public dataset built for decision-making: dynamic KPIs, filters, and predictive views.
A MIAGE graduate who pairs technical rigor with business judgment to turn data into decisions.
I graduated from the MIAGE Master's program at the University of Bordeaux (2025), specializing in data analysis, automation, and software development. My apprenticeship at Sopra Steria and international stint at CMA CGM taught me to ship things that hold up in production — not just in a notebook.
Apprentice Software Engineer / Developer · Bordeaux, France
May 2023 – September 2025
Assistant Project Manager · Nouakchott, Mauritania
April 2023 – July 2023
Graduate · University of Bordeaux
2023 – 2025
The tools I use day to day, from raw data to production.
Training backed by concrete results, not just completed courses.
University of Bordeaux — 2025
C1 level — professional English
Score: 135/160
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Always happy to talk about data projects, automation, and collaboration opportunities.
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