Federico Stella
About Federico Stella
Federico Stella is a Senior Data Scientist at Descartes Systems Group, where he has worked since 2018. He has a background in computer engineering and has held various roles in technology and network architecture in Uruguay.
Work at Descartes Systems Group
Federico Stella has been employed at Descartes Systems Group as a Senior Data Scientist since 2018. His role involves utilizing data science techniques to analyze and interpret complex datasets, contributing to the company's strategic initiatives. He operates from Montevideo, Uruguay, where he applies his expertise to enhance data-driven decision-making processes within the organization.
Previous Experience in Quality Assurance
Prior to his current position, Federico worked at ITS - Infrastructure Technology Services as a Quality Assurance Tester from 2015 to 2018. During his three years in this role, he was responsible for ensuring the quality and functionality of software products. His experience in this position laid a foundation for his skills in data analysis and problem-solving.
Internship at UTE
Federico gained early professional experience as a Pasante Arquitectura de Redes at UTE from 2013 to 2014. This one-year internship in Mercedes, Soriano, Uruguay, allowed him to develop foundational skills in network architecture and technology, contributing to his overall expertise in the field.
Education and Expertise
Federico studied Ingeniería at Facultad de Ingeniería - Universidad de la Republica, where he is expected to achieve his degree in Ingeniero en Computación by 2030. His educational background also includes a Bachiller en Informática from ETS - Pedro Blanes Viales, completed in 2014, and an Operario en Mecánica Torneria from the same institution, achieved in 2012. This diverse educational experience supports his technical capabilities in data science.
Personal Projects and Continuous Learning
Federico has a passion for developing personal projects alongside his professional work. He actively seeks opportunities to learn new technologies, which enhances his work performance and outcomes. This commitment to continuous learning reflects his dedication to staying current in the rapidly evolving field of data science.