Augusto Bubenik

Augusto Bubenik is a data scientist and analyst with expertise in Python, R, SQL, and machine learning. Currently enrolled in a Master’s program at Universidade Estadual de Campinas, they focus on developing predictive models for hypertension risk using machine learning techniques. Recently, Augusto served as a data scientist with the iTech - Instituto de Inovações Fotônicas, where they contributed to a project on monitoring systems for large pipes through AI models. They also have experience working at Citrosuco, where they analyze data related to citrus diseases and crop forecasting. With a strong educational background in Mathematics and Physics, Augusto has consistently sought to enhance their skills and apply data insights to drive impactful decision-making in various industries.