Enes Zvorničanin is a skilled data science professional with extensive experience across various companies. Currently serving as a Data Science Consultant at The World Bank since July 2022, Enes has contributed to a natural language processing project focused on developing systems for text cleaning and entity resolution. Enes is also a Data Scientist at Toptal, recognized for being an exclusive network of top freelancers. As an author for Baeldung and neptune.ai, Enes writes about computer science, machine learning, optimization, and MLOps. Previous roles include Senior Data Scientist at Tech387, where Enes managed data science projects and conducted business analysis, and Data Scientist at Entropy387, focusing on machine learning techniques for stock prediction. Enes holds a Master’s degree in Theoretical Computer Science from the University of Sarajevo and a Bachelor’s degree in Applied Mathematics from the University of Tuzla.
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