Summary
Rémi Julien is a versatile data scientist and analyst with nine years of experience building production-ready ML models, data architectures and big data pipelines for public and private sector clients in France. He combines hands-on engineering (Python, R, SQL, Snowflake, Dataiku, AWS, Airflow) with leadership roles as lead trainer and consultant, regularly translating complex domain data—environmental, IoT, health and social protection—into actionable insights. Notable projects include a spatial AI platform harmonizing over 100M environmental and health records and optimizing cloud architectures for scalability at Malakoff Humanis. He also grows teams and capability through training programs (Greta, Wild Code School, OpenClassrooms) and by running an independent consulting practice. Comfortable from prototyping to deployment, he bridges statistics, predictive modeling and interactive dataviz (Shiny, Power BI) to deliver measurable value. A physicist by background, he brings a methodical, experimental mindset to data-driven productization and organizational change.
8 years of coding experience
12 years of employment as a software developer
Entrepreneuriat / études entrepreneuriales, Entrepreneuriat / études entrepreneuriales at CCI du Loiret
MOOC Multivariate analysis, Statistics, MOOC Multivariate analysis, Statistics at L'Institut Agro Rennes-Angers
MOOC Innovate in a digital world, Digital innovation, MOOC Innovate in a digital world, Digital innovation at Télécom Paris
MOOC Digital challenges of smart cities, Smart city, MOOC Digital challenges of smart cities, Smart city at INRIA
Master Big Data Analyst, Master Big Data Analyst at Université Paris Cité
Degree in Physics, Techniques instrumentales, Degree in Physics, Techniques instrumentales at Nantes Université
French, English