Khaled Benaggoune is a Senior Data Scientist with a PhD in industrial computing and five years of experience applying advanced AI to industrial prognostics, digital pathology, railway predictive maintenance, and EV energy management. He transitioned from academic research and R&D at FEMTO-ST and FCLAB into industry roles at Alstom and now Renault Digital, bridging deep research skills with production-focused data engineering. Known for translating complex prognostics methods into deployable solutions, he combines expertise in predictive maintenance with a pragmatic focus on data infrastructure. Based in France, he brings a researcher’s rigor to engineering problems and an uncommon blend of academic depth and hands-on product delivery.
5 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Informatique industrielle, Doctor of Philosophy - PhD Informatique industrielle at Université Hadj Lakhdar de Batna
Contributions:10 PRs, 7 pushes, 8 branches in 7 months
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