Juan José Rodríguez López
About Juan José Rodríguez López
Juan José Rodríguez López is a Teaching Assistant at Correlation One and a Data Scientist at Teleperformance in Bogotá, Colombia. He combines his background in civil engineering with data science to provide insights and contribute to the education of future data scientists.
Work at Correlation One
Currently, Juan José Rodríguez López serves as a Teaching Assistant at Correlation One, a position he has held since 2022. In this role, he engages with students and contributes to their learning experiences in data science. His responsibilities include providing support and guidance to learners, leveraging his technical skills and knowledge gained from his studies in data science.
Work at Teleperformance
Juan José Rodríguez López has been employed as a Data Scientist at Teleperformance since 2018. His role involves applying data science techniques to analyze data and generate insights that inform business decisions. His experience at Teleperformance spans six years, during which he has developed a strong understanding of data-driven strategies.
Education and Expertise
Juan José Rodríguez López has a solid educational background in both civil engineering and data science. He studied Civil Engineering at Universidad Nacional de Colombia from 2017 to 2022, earning a Pregrado degree. Additionally, he completed the Data Science for All program by Correlation One, graduating with honors in 2021. This combination of civil engineering and data science equips him with a unique perspective in his professional roles.
Participation in Data Science Programs
Juan José Rodríguez López participated in the Data Science 4 All / Colombia program, which is recognized for its rigorous curriculum and emphasis on practical data science skills. This program has contributed to his expertise in data science, enhancing his ability to apply technical skills in real-world scenarios.
Background in Civil Engineering
Juan José Rodríguez López has a strong foundation in civil engineering principles, which he integrates with his data science expertise. His background in civil engineering informs his analytical approach and enhances his capabilities as a data scientist, allowing him to provide unique insights in his current roles.