Elyes Melbouci is an AI and Machine Learning Engineer at CN Investment Division and a software engineering student at ÉTS in Montreal, bringing two years of hands-on experience across the full ML lifecycle—from data pipelines and exploratory analysis to model deployment and continuous optimization. At CNID he builds production-ready predictive models that inform investment decisions and has a background in BI that sharpens his data modeling and ETL design skills. He’s comfortable spanning backend, frontend, BI and AI technologies, and is particularly passionate about automation and intelligent systems that streamline workflows. Elyes also founded Nuvia Studio, reflecting an entrepreneurial drive to turn data-driven ideas into products. Notably, his progression from IT support through BI to ML roles shows a practical, end-to-end understanding of how analytics integrate into operational environments.
3 years of coding experience
Technique D.E.C Informatique, Technique D.E.C Informatique at Collège de Maisonneuve
Diplôme d'ingénieur Ingénierie logicielle, Diplôme d'ingénieur Ingénierie logicielle at École de technologie supérieure
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