Ivan Zalamea
About Ivan Zalamea
Ivan Zalamea is a Staff Data Scientist with extensive experience in data science and analytics, having worked at fuboTV and PlaceIQ, among others. He holds a PhD in Physics from Columbia University and has a strong interest in data analytics applications across various fields.
Work at fuboTV
Ivan Zalamea has held multiple positions at fuboTV, including Data Science and Analytics Manager, Senior Data Scientist, and currently Staff Data Scientist. His tenure at the company spans from 2017 to the present, with roles evolving from Data Scientist to managerial positions. His work focuses on leveraging data analytics to drive insights and improve decision-making processes within the organization.
Education and Expertise
Ivan Zalamea has a strong academic background in physics, having earned a Bachelor of Science (BS) from Universidad de Los Andes, a Master of Arts (MA) from Columbia University, and a Doctor of Philosophy (PhD) in Physics also from Columbia University. His education has equipped him with analytical skills that are applicable in the field of data science. He has also completed an 'Introduction to Data Science' course on Coursera, enhancing his technical expertise.
Background
Ivan Zalamea's professional journey includes significant roles in data science across various organizations. He worked at PlaceIQ as a Data Scientist and later as a Senior Data Scientist. His experience extends to postdoctoral research positions at Jacobs University Bremen and Stockholm University, where he focused on astrophysical systems. His background in physics informs his approach to data science, allowing him to tackle complex challenges.
Achievements
Throughout his career, Ivan Zalamea has contributed to the field of data science through various roles and projects. He has simulated complex astrophysical systems, which showcases his ability to apply scientific principles to data analytics. His experience with SQL and NoSQL databases, as well as writing MapReduce routines, highlights his technical proficiency in managing and analyzing large datasets.