Pedro Pérez Escalona

Pedro Pérez Escalona is a data analyst at NeuralWorks since February 2023, previously serving as an Asistente de investigación at CMM - Centro de Modelamiento Matemático from August 2022 to February 2023. Earlier, Pedro gained practical experience at CMM as a practicante in early 2020, where contributions included implementing a Python algorithm that led to a published paper in the international conference SOFSEM 2021. Additionally, Pedro worked as a practicante at ENAP in early 2019, focusing on generating predictive models for energy expenditure and efficiency in plant operations. Educationally, Pedro holds a Master of Science in Mathematics and Computer Science and a degree in Civil Mathematics Engineering from Universidad de Chile.