Marcelo Menegol is a data scientist with nine years of experience blending AI research and applied machine learning, currently advancing analytics at Adaptfy in Amsterdam. Trained as a control and automation engineer with a Master’s in Mechatronics and a research focus on multi-agent UAV systems, he published work on autonomous drones early in his career and brings a strong robotics mindset to data problems. His professional path spans R&D intern roles in prognostics and embedded C/C++ work to progressive data science positions where he has concentrated on regression, clustering, and statistical modeling. Problem-oriented and engineering-driven, Marcelo favors inventive, impact-focused solutions and continues to study robotics and industrial applications in his spare time. He’s equally comfortable translating research into production-ready models and exploring how multi-agent concepts can inform scalable, autonomous data systems.
9 years of coding experience
6 years of employment as a software developer
Master’s Degree, Mechatronics, Robotics, and Automation Engineering, Master’s Degree, Mechatronics, Robotics, and Automation Engineering at Universidade Federal de Santa Catarina
Mechatronics, Robotics, and Automation Engineering, Mechatronics, Robotics, and Automation Engineering at The University of Manchester
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