Summary
Avel Docquin is a Senior Data Scientist based in Paris with 9 years of experience building and shipping production ML systems end-to-end, from modeling and evaluation to deployment and monitoring. He has delivered high-throughput pricing engines and recommendation/monetization models handling millions of users and hundreds of thousands of daily sessions, and improved anomaly-detection performance by 50% in banking contexts. Comfortable across the ML stack, he has built CI/CD pipelines, Kubernetes deployments with Seldon Core, MLFlow and ZenML, and production APIs with FastAPI and Docker. He frequently combines rigorous A/B testing (frequentist and Bayesian) with pragmatic product advice to drive measurable business impact. Notably, he also engineered internal tooling to automate A/B analysis and migrated batch jobs to real-time Vertex AI APIs, reducing manual work and latency for data teams. Trained at EPITECH with additional AI studies, he brings a software-engineering mindset to data science, ensuring robust, test-covered deliverables.
9 years of coding experience
7 years of employment as a software developer
Epitech
Computer Science Artificial Intelligence, Computer Science Artificial Intelligence at Ahlia University
French, English