Summary
Gabriel Bastard is a data scientist with over a decade of experience applying machine learning and deep learning to product-focused problems, currently improving hearing-aid sound perception at Audatic in Berlin. He built a production tool for the French Ministry of Economics to detect fake reviews using unsupervised aggregation of suspicion indicators, graph analysis and text mining, and has two years of freelance experience delivering diverse models from real-estate estimators to sales predictors. Comfortable across the Python data-science stack, deep learning libraries, SQL and web scraping, he pairs research-grade methods with production deployments. His background includes founding and building a full-stack social app as CTO and teaching abroad, reflecting a blend of engineering, product ownership and clear communication with non-technical stakeholders.
10 years of coding experience
4 years of employment as a software developer
Master’s Degree, Entrepreneurship/Entrepreneurial Studies, Master’s Degree, Entrepreneurship/Entrepreneurial Studies at University of California, Berkeley
MPSI-MP*, MPSI-MP* at Lycée Louis Pasteur
Ecole polytechnique
French, English, German