Summary
Lino Galiana is a data scientist and educator based in Paris with eight years of experience bridging public-sector statistics and practical data science. At INSEE and ENSAE Paris he teaches large cohorts on "Python pour la data science" and productionizing data projects, while leading the public data scientists network and working on innovative big-data studies (mobile phone, transaction data) using PySpark, R and cloud storage (S3). He has a strong academic foundation from ENSAE, ENS Lyon and Paris economics/math programs, and a track record of producing actionable statistics such as mobility metrics during COVID-19. Comfortable from exploratory analysis to Docker/Kubernetes-backed deployment and MLOps, he combines rigorous methodological training with hands-on reproducible workflows and open teaching resources. An unexpected detail: he maintains course websites and open-source course material that scale to hundreds of students, reflecting a commitment to accessible, production-ready data science education.
8 years of coding experience
1 year of employment as a software developer
Classe préparatoire B/L (Lettres et Sciences Sociales), Sciences économiques et sociales, Admis à l'ENS Lyon, Classe préparatoire B/L (Lettres et Sciences Sociales), Sciences économiques et sociales, Admis à l'ENS Lyon at Lycée Henri IV
M1 Mathématiques Fondamentales, Mathematics and Computer Science, M1 Mathématiques Fondamentales, Mathematics and Computer Science at Université Pierre et Marie Curie (Paris VI)
Diplôme d'ingénieur, Statistics, Diplôme d'ingénieur, Statistics at Ensae ParisTech
Normalien, Economie, Normalien, Economie at Ecole normale supérieure de Lyon
M2 Analyse et Politiques Economiques (M2), Économie, M2 Analyse et Politiques Economiques (M2), Économie at Paris School of Economics / École d'économie de Paris
L3 Mathématiques, MASS, L3 Mathématiques, MASS at Université Claude Bernard Lyon 1