Finding the story behind the numbers
Born and raised in France, I left right after high school to live abroad: Australia, then Sweden, then the Netherlands. Those years away made me fluent in English, taught me real independence, and left me with a lasting curiosity: figuring out how things work wherever I land.
That curiosity has found its playground: data. I am training as a Data Analyst with OpenClassrooms, learning to turn raw, messy data into clear decisions a team can act on.
Python, SQL, Power BI, Tableau: whatever it takes to make data talk.
Across my OpenClassrooms projects, I have run analyses from raw data to recommendation in very different fields.
See the case studies →- FRFrance, where I grew up
- AUAustralia
- SESweden
- NLThe Netherlands
- FRBack in Lyon, today
Curious first, rigorous always
I start with questions: what is the data really saying, and what might it be leaving out? Then I check before I conclude. I recompute the key figures from the source and look at units, joins and missing values. Coming back to my projects for this portfolio, that habit sharpened several of my conclusions, and each case study shows how.
- 01QuestionWhat does the business really need to know?
- 02CleanUnits, joins and gaps, fixed before any chart.
- 03ExplorePatterns and outliers, tested, not assumed.
- 04StoryOne clear answer a team can act on.
- MusicListening to it, and making it.
- FootballWatching the game, and reading the numbers behind it.
- TravelDiscovering new places, a habit four countries left me with.
What my projects taught me, from analytical traps to working with AI
Read the notes →