Daniel Klein is a Data Scientist with a strong background in industrial applications, specializing in Operations Research, Machine Learning, and Simulation. They currently lead R&D projects at the SENAI Institute of Innovation, managing all stages from data curation to model deployment, and have developed data-driven solutions that significantly enhance efficiency and reduce costs. Daniel holds an M.Sc. in Production & Systems Engineering, where they integrated Reinforcement Learning with Theory of Constraints for production scheduling, demonstrating a blend of management techniques with machine learning for real-world improvements. Previously, they contributed to various roles in teaching and process improvement, impacting the education and industrial sectors significantly.
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