Student in Data Science | Applied Mathematics & Statistics | Future Biostatistician
I am currently pursuing a Bachelor's degree in Data Science (B.U.T. Science des Données) at Sorbonne Paris North University.
My academic background combines applied mathematics, statistics, and computer science.
Driven by a strong interest in health and data, I aim to become a biostatistician, using data to support medical decisions and improve patient outcomes. I enjoy working with real-world datasets, building predictive models, and turning complex data into actionable insights.
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Statistics & Data Analysis • Descriptive & inferential statistics • Regression, classification, time series analysis • Multivariate analysis, sampling, hypothesis testing • Statistical modeling and probabilistic reasoning |
Programming & Data Engineering • Python (NumPy, Pandas, Matplotlib, Scikit-learn) • R (RStudio, R Shiny) • SQL (PostgreSQL, SQLite, etc...), NoSQL • SAS, Java, HTML/CSS |
Data Visualization & Reporting • Excel (Power Query/Pivot, VBA) • Tableau & Power BI • Metabase • Technical reporting, storytelling, communication |
