Hi! I'm Nicolas, a bioinformatics engineering student at EFREI Paris, currently working as a Data Science / Biostatistics intern at Gustave Roussy and CESP.
I focus on applying statistical methods, cohort analysis and machine learning to health-related research.
- 🎓 Master’s student in Bioinformatics (Engineering degree – EFREI Paris)
- 🧪 Currently working on longitudinal analyses, cohort studies and scientific dashboards
- 🐍 Strong experience with Python (pandas, numpy, statsmodels, seaborn)
- 📊 Skilled in R for biostatistics (tidyverse, ggplot2, survival, Shiny)
- 🌐 Also comfortable with full‑stack development (Vue.js, Node.js, Flask)
- Statistical modelling & data analysis
- Machine learning (supervised & unsupervised)
- Scientific visualization
- Health data, epidemiology, cohort studies
- Reproducible research & clean data pipelines
You’ll find:
- Data science and machine learning projects
- Academic projects (graph algorithms, full‑stack applications, classification models)
- Tools and dashboards built in Python or R
I’m progressively updating older repositories to reflect my current standards and practices.
- LinkedIn: https://www.linkedin.com/in/nicolas-legrand-266259252
- GitHub: https://github.com/Nicolas-Legrand23
- Email: nicolas.legrand.22@efrei.net
Feel free to explore my work — and don’t hesitate to reach out if you want to discuss data, biostatistics or research projects.