Data Scientist at Chief Analytics Office, IBM Global HQ
Tin Oreskovic is a Data Scientist at IBM’s Chief Analytics Office, a team tasked by IBM’s executives to tackle the firm’s most complex strategic issues using machine learning and other data-driven methods. He is a Brown University graduate in Econometrics and Quantitative Economics as well as in Philosophy, and a Columbia University graduate in Data Science.
Tin initiated a University of Chicago Data Science for Social Good project to develop a predictive model of vaccination outcomes, and coordinated the work of a data science team with that of public health officials and medical doctors. He believes that despite the numerous challenges, there are great opportunities to apply data science methods for impact in public policy and the social sector.
Tin received several prizes, including the Ducasse Prize for Excellence in Philosophy and the Data Science for Social Good Europe Champion award. Most recently, before joining IBM, he worked on a Microsoft Research project in partnership with Columbia's Data Science Institute aiming to forecast congressional election outcomes using non-representative online polling processed by multilevel modeling and poststratification, and to compare the benefits of asking generic ballot vs. candidate-specific questions.