He has a BSc degree in Computer Science at the Federal University of Alagoas, Brazil, which included researchers in Pattern Recognition and Computer Graphics. Currently MSc and Ph.D. in Computer Science at Fluminense Federal University, Brazil. His master’s research was in clustering algorithms, with emphasis on spatially constrained clustering. His Ph.D. research was in the Human Activity Recognition domain, focusing on adaptive strategies from Data Stream Learning algorithms. He has experience in Computer Science, focusing on Pattern Recognition, Data Mining, and Machine Learning. He worked on research involving Ambient Intelligence, principally in Context Reasonings for Human Activity Recognition on Context-Aware computing. Furthermore, they conducted research on building technological solutions using Machine Learning techniques for the integration of Edge Computing and virtualization paradigms in network functions (NFV), as well as scenarios related to human pose estimation from computer vision using Deep Learning.He is a consultant at Blueshift enterprise, specialized in Big Data Analytics on the Azure platform, they have experience in source mapping, development of ETL processes (extraction, transformation, and loading), data pipeline development for data loading in Data Lake environments. Currently, he is Data Scientist with experience in Databricks, using advanced data analysis, machine learning, and visualization techniques to extract valuable insights and make data-driven decisions.
Listed skills include Java, Latex, Algoritmo, Tableau, and 7 others.
