Summary
Antoine Roy is a Data Scientist with eight years of experience building production-ready Python/Django backends and applied machine learning solutions, currently contributing at the Human Adaptation Institute from Marseille. He combines deep geospatial and remote sensing expertise—quantifying urban heat islands and climate risk—with solid software engineering practices (Docker, Gitlab CI) developed while building GREENPASS's backend. His project work spans NLP, computer vision for satellite imagery, and field-focused analytics across Africa, the Middle East and Europe, reflecting a pragmatic blend of research and operational delivery. Trained at ENSAE Paris and Paris School of Economics, he pairs rigorous social-data-science methods with hands-on coding, often translating complex environmental models into usable tools for urban adaptation. Notably, he moves fluidly between data science research and scalable deployment, making him effective at turning geospatial insights into impactful products.
8 years of coding experience
7 years of employment as a software developer
Master's degree Public Policy and Development, Master's degree Public Policy and Development at Paris School of Economics
Master's degree Social Data Science, Master's degree Social Data Science at ENSAE Paris
CPGE BL Lettres et Sciences Sociales, CPGE BL Lettres et Sciences Sociales at Lycée Thiers, Marseille
French, English, Spanish, Italian, German