Artus Vuatrin
Ingénieur De Données at Too Good To Go
Neuilly-sur-Seine, Île-de-France, France
Summary
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Senior🎓
Top SchoolArtus 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
5 years of employment as a software developer
Statistics and Economy and Computer Science, Statistics and Economy and Computer Science at Pontificia Universidad Católica de ValparaísoBachelor's degree Ingénierie, Bachelor's degree Ingénierie at Shanghai UniversityEngineer's degree Computer Science Specialisation : Buisness Intelligence and Data Mining, Engineer's degree Computer Science Specialisation : Buisness Intelligence and Data Mining at Université de Technologie de Compiègne (UTC)Baccalauréat Scientific, Baccalauréat Scientific at Lycée Pasteur de Neuilly-sur-Seine
French, english ( toeic : 945 ), Spanish, Chinese, JapaneseProgramming languages (2)
Github contributions (5)
ArtusVuatrin/General-Information-of-This-Profile
Nov 2016 - Apr 2021
Contributions:4 pushes, 1 branch in 4 years 5 months
ArtusVuatrin/ChicagoStockExchange
May 2015 - Nov 2016
Contributions:1 push, 1 branch in 1 year 6 months
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