Summary
Adrien Renaud is a Managing Consultant Data Scientist based in Paris with 12 years of experience turning large-scale scientific and industrial data into production-ready analytics and AI solutions. Trained on petabytes of collision data at CERN’s ATLAS experiment where he earned a PhD in particle physics, he now leads cross-industry projects at Capgemini Invent—from clinical trial harmonisation and predictive maintenance to financed-emissions modelling and real-time anomaly detection for the ISS. He blends deep statistical rigor and scalable engineering, having designed lambda and big-data architectures (Kubernetes/Kubeflow/Beam/Kafka) and custom analytics platforms on AWS integrated with Palantir Foundry. Notably, he contributed an implementation of FlauBERT to simpletransformers and delivered high-frequency telemetry anomaly detection showcased by TensorFlow resources. Comfortable across the stack (PySpark, Python, React/TypeScript, Dataiku), he bridges research-grade methods and pragmatic deployment to drive measurable business impact.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Elementary Particle Physics, Doctor of Philosophy (Ph.D.), Elementary Particle Physics at Paris-Sud University (Paris XI)
Fundamental Physics Master's degree, Fundamental Physics Master's degree at Université Paris Cité
English, French, German, Spanish