Ícaro Agostino is a simulation-focused data science specialist with eight years of experience blending PhD-level research in production engineering with hands-on modeling and simulation for industrial systems. He has driven predictive, optimization and simulation projects across academia and industry—from Paragon Decision Science to Lojas Renner—applying R-based forecasting, simulation optimization and meta-learning approaches for cyber-physical manufacturing systems. His work spans time series forecasting, integrated maintenance-production control and simulation-based scheduling, informed by international collaboration at BIBA (Germany) and extensive doctoral research at UFSC. Known for turning rigorous statistical modeling into practical operational improvements, he combines deep quantitative training with frontline experience in industrial operations in Brazil.
8 years of coding experience
9 years of employment as a software developer
Doctorate in Production Engineering Operations Management, Doctorate in Production Engineering Operations Management at Universidade Federal de Santa Catarina
Master in Production Engineering Quantitative Methods, Master in Production Engineering Quantitative Methods at Universidade Federal de Santa Maria
Bachelor in Engineering Production Engineering, Bachelor in Engineering Production Engineering at Uniceuma
Contributions:34 commits, 32 pushes, 1 branch in 8 months
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