Lino Galiana

Personal website

I am a data scientist at the Innovation Lab of the French National Institute of Statistics (Insee) 🇫🇷. My work focuses on leveraging new data sources and innovative methods to develop reliable statistics on socioeconomic phenomena. I have a particular interest in the analysis of textual and spatial data.

I mostly work with Python , and Javascript . Most of my work, both personal and professional, is available on my GitHub page or the GitHub page of Insee’s Lab.

I currently teach Python for Data Scientists at ENSAE Paris Tech, one of France’s top engineering schools. You can find the course materials on the GitHub repository .

Additionally, I teach a course on Data Science Projects in Production at the same institution. This course addresses state-of-the-art MLOps practices, with materials available on the GitHub repository .

I have developed a course on Good Practices in R and Git. Additionally, I used to teach an Introduction to (GitHub repository ), an introductory data analysis course at Ecole Normale Supérieure.

Among my main open-source projects, I maintain the utilitR project, a collective effort involving many contributors from the French administration to provide high-quality documentation for the software. I also developed cartiflette, a project designed to offer data scientists working with spatial data easy access to France’s geographic borders, facilitating the production of maps.

Since I enjoy using my professional tools for personal projects, I developed climbtracker ⛰️🚲, a website that helps road cyclists find ascents in their surrounding areas.