Amélie B.

Analytics Engineer (Aerospace Manufacturing) @Safran

Paris, FR

My role is to improve manufacturing processes and optimize performance and efficiency using data analysis techniques. Analytics & production support: Developed applications and analyses to monitor and improve industrial processes (drift & root cause analyses, statistical process control, repeatability demonstration), designed production monitoring dashboards (Power BI, Dash) and automated order processing review (GEN AI, prompting and AWS workflow design) Data pipelines & monitoring: Built and maintained production data pipelines (MLE cavity heatmap calculations), implemented monitoring systems for data transfer and transcoding DevOps culture & software best practices: Set up and maintained continuous integration processes using Jenkins, applied software development best practices (GitLab version control, peer review, documentation and functional validation) Tech watch & data culture promotion: Broadcasted monthly highlights on data topics, attended internal (Software at Safran Day, GenAI Workshop, Hackathon) and external events (IT/Data conferences and meetups, AWS Summit), SecuredGPT user, Copilot early adopter and beta tester, AWS skills development (Cloud Practitioner and Technical Essentials course) Project management & mentoring: Multi-project coordination, managed the redesign of an Oracle database, led a project on order processing review automation and supervised service provider and trainees