Summary
Artus Vuatrin is a data engineer and scientist with 11 years of experience building production-ready analytics and ML systems across insurance, public health, and consumer tech. He has led data teams and shipped end-to-end ELT platforms on Google Cloud—using Airbyte, BigQuery, Airflow, dbt and Terraform—with CI/CD and automated deployments to support realtime claims automation. At Acheel he combined Data Ops, engineering and ML to accelerate pet-claim payments, and more recently contributes data engineering at Too Good To Go. His background in statistical analysis for the French Health Ministry and fraud-detection work at ShiftTechnology gives him a strong blend of rigorous analytics and operational pragmatism. Comfortable from SQL Server/SSIS/SSAS and Power BI to modern Python workflows, he often bridges product needs and engineering constraints to move models into production.
11 years of coding experience
6 years of employment as a software developer
Statistics, Statistics at Pontificia Universidad Católica de Valparaíso
Bachelor's degree, ENGINEERING, Bachelor's degree, ENGINEERING at Shanghai University
Diplôme d'ingénieur, Informatique, spécialisation : Fouille de données, Diplôme d'ingénieur, Informatique, spécialisation : Fouille de données at Université de Technologie de Compiègne (UTC)
Baccalauréat, Scientifique, spécialisation Science et vie de la Terre, Baccalauréat, Scientifique, spécialisation Science et vie de la Terre at Lycée Pasteur de Neuilly-sur-Seine
French, english ( toeic : 945 ), Spanish, Chinese, Japanese