Pedro Hernandez

Pedro Hernandez is a data professional with a robust background in data science and project management. Currently serving as a Mid-Level Data Scientist at UL Solutions, Pedro specializes in binary text classification and category assignment for product reviews, leveraging both classical techniques and large language models. Previously, Pedro held roles as a Junior Data Scientist at UL and a Data Science Intern at Votorantim Cimentos, where development of machine learning models and ETL pipelines took place. Prior experience includes consulting and project management positions at EJEQ, emphasizing Agile methodologies and team collaboration. Pedro holds a Bachelor's degree in Chemical Engineering from Universidade Federal do Paraná.