Quim Arnau is a Data Science Manager based in Barcelona with a decade of experience designing AI/ML solutions across aerospace, automotive, maritime logistics and retail at Accenture. He combines a strong academic foundation in computer science (BSc, MSc) and early research on sustainable supply-chain heuristics with hands-on delivery of optimization, forecasting and genetic-algorithm projects for multinational clients. Driven by a passion for practical, impactful analytics, he balances enthusiasm for automation with a clear concern for bias and fairness in models. Curious about novel sustainability opportunities, he brings both discrete simulation and large-scale data engineering experience to bridge research and production. Notably, his background spans both academic publications and enterprise deployments, making him comfortable translating advanced algorithms into business-ready systems.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at KTH Royal Institute of Technology
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