Mechanical Engineer with a postgraduate degree in Data Science, specializing in Machine Learning models and statistical analyses. Authored an internationally published scientific article on mathematical optimization. As a Data Scientist, expertise lies in consulting, data extraction, and processing from SQL databases, as well as implementing supervised and unsupervised models in Python and R. Played a key role in developing and applying mathematical optimization methods, leading the creation of a pioneering investment optimization library for advertising. Proficient in creating dashboards using PowerBI, incorporating PowerQuery and DAX for result visualization, with advanced English proficiency.