Pedro Barbosa is currently a Quantitative Researcher and Algorithmic Trading Developer at QuantConnect, where they design, test, and deploy multi-asset trading algorithms utilizing the LEAN Engine in Python. They have also worked as a Python Developer at Workana, creating secure systems and analyzing data with automation tools. Pedro is pursuing a Computer Engineering degree at Centro Universitário IBMR and has furthered their expertise through certifications in Machine Learning and Python for Data Science. Previously, they held roles that encompassed team coordination, technology leadership, and software development, accumulating a range of skills in programming and quantitative analysis.
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