I’m Andrija Radojević, a BSc student at the University of Belgrade, Faculty of Mathematics, focused on Statistics, Actuarial, and Financial Mathematics. I enjoy turning data into reliable insights—whether that’s building predictive models, evaluating statistical hypotheses, or exploring patterns in real-world datasets.
I’m also passionate about machine learning and sports analytics. Through projects like EuroLeague performance modeling (600+ games) and productivity prediction (behavioral and psychological variables), I’ve worked with regression, classification, cross-validation, and regularization to produce models that generalize well. I’m comfortable using Python, R, SQL, and common data science libraries to go from data to conclusions.
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