Sebastian Giraldo Perez
About Sebastian Giraldo Perez
Sebastian Giraldo Perez is a Software Engineer at BairesDev, where he has worked remotely since 2022. He has a diverse background in data science and engineering, with experience in financial modeling and neuroengineering.
Work at BairesDev
Sebastian Giraldo Perez has been employed at BairesDev as a Software Engineer since 2022. He works remotely, contributing to various projects that leverage his extensive technical skills. His role involves developing software solutions and models that cater to both technical and non-technical users, showcasing his ability to communicate complex concepts effectively.
Previous Experience in Data Science
Prior to his current position, Sebastian held multiple roles in data science. He worked at Bancolombia as a Senior Data Scientist in Risk Analytics from 2019 to 2020, and as a Mid Data Scientist in the same department from 2018 to 2019. He also served as a Senior Data Scientist at Belcorp from 2020 to 2022. His experience in these roles involved creating predictive models and automation software.
Educational Background
Sebastian earned a Bachelor's degree in Mechatronics Engineering from Universidad EIA - Escuela de Ingeniería de Antioquia, where he studied from 2011 to 2017. He furthered his education by obtaining a Master of Science in Cognitive Systems from Open University of Cyprus, completing this program from 2020 to 2022. His academic background supports his expertise in both engineering and data science.
Technical Skills and Expertise
Sebastian possesses advanced skills in several programming languages, including Python, Java, MATLAB, C#, and SQL. His technical expertise extends to developing automation software, creating predictive financial models, and working with genetic algorithms for optimization. This diverse skill set enables him to tackle complex problems across various domains.
Contributions to Neuroengineering
Sebastian has a significant background in neuroengineering, where he contributed to projects focused on training classification models to recognize mental commands. This experience highlights his ability to integrate advanced computational techniques with practical applications in neuroscience.