Louise contributes to the design and deployment of cloud-based analytics pipelines, helping organizations transform complex datasets into actionable insights. Her work supports decision-making through predictive modeling, anomaly detection, and natural language processing.

Prior to her current role, Louise developed statistical tools and machine learning models for insurance, where she led cross-functional projects involving EHR data, multilingual OCR pipelines, and cloud-based solutions. She is passionate about improving access to quality data and building systems that serve the public interest.

Louise is a fully certified actuary and holds two master’s degrees in actuarial science, statistics, and finance from ENSAE and the Polytechnic Institute of Paris.