DATAKOLEKTIV - Key Persons

Aleksandar has completed doctoral studies in Applied Mathematics in Italy (GSSI - L'aquila, SISSA - Trieste) doing scientific research in the field of control and optimization. He is an author and co-author of several scientific papers published in leading international journals. Aleksandar has many years of experience in the ML industry and education, with a focus on machine learning, 3D computer vision, graph neural networks and hardware acceleration of ML algorithms. He is currently in the gaming industry.

Job Titles:

• Chief Scientist & Owner, DataKolektiv, Lead Data Scientist, Smartocto
• Professional

I founded DataKolektiv in 2017, following almost twenty five years of my career in academic and applied science and research. In 2017 - 2022 I have worked with DataKolektiv as a Data Scientist for Wikidata, certainly the largest and arguably the world's most complex Open Knowledge Base, providing full-stack Data Science services: from ETL/pre-processing in Big Data systems, ML, and towards serving hand-crafted dashboards in virtualized production environments. Here is my Wikidata Analytics System repo. In the meantime, DataKolektiv has also been at the forefront of innovation, offering expert consulting services to premier Swiss banking institutions and leading global technology-oriented market research firms. We've also played a pivotal role in enhancing the skills of numerous professionals in Data Analytics, Data Science, and Machine Learning across local and Western European markets. Pioneering in the realm of AI, we've educated many in AI development, particularly since the emergence of Generative AI systems, positioning ourselves as one of the earliest consultancies to embrace this new technological era. I have co-edited and co-authored five books on Internet user behavior and attitudes, encompassing theoretical aspects of the development of Information Society and Internet Governance. In my academic track I have done a lot of work on human associative and semantic memory, concepts and categorization, statistical causal induction, and judgment and decision making under risk. In my professional and academic career I have educated hundreds in methodology, statistics, psychology, Data Science, and AI. I program computers since 1984, and that would be the 8-bit era. When I was sixteen, I have published my first review of a PASCAL compiler, and wrote my first scientific paper when I was nineteen. Since then I live in the intersection of computer science, mathematical statistics, and social sciences. Goran S. Milovanović, PhD, is a professional Data Scientist with an extensive experience in fundamental and applied research, market analytics, information retrieval, reporting, visualization, and deployment of Data Science projects and systems. He was engaged in teaching and taught independently methodology, statistics, R programming (and other statistical systems as well) since the early 90s, online as well as in a classic setting, in English and Serbian, in the academic, NGO, and for profit sectors, mentoring online R students for years. While having a background in social and cognitive sciences (psychology major and PhD) he is a programmer since the 80s. 2017 - 2022 he was a Data Scientist for Wikidata, the world's largest open knowledge base, using R as a part of a technological stack encompassing Python, Apache Hadoop and Spark, RDBS, XML, JSON, RDF, SPARQL, Shiny, R Markdown, Docker, and more, to maintain full-stack Data Science projects. Highly skilled in experimental and survey methods and mathematical models of human behavior, he edited and co-authored several books on Internet Behavior and the development of Information Society. In his academic track he studied the problems of choice under risk and uncertainty, distributive semantics, category learning and categorization, reasoning, and causal induction, at the University of Belgrade and New York University. He is an (occasional) blogger at R-bloggers and a regular contributor to the European R Users Conference. He runs a Data Science consultancy firm, DataKolektiv, from Belgrade, Serbia. Contact: goran.milovanovic@datakolektiv.com. This is free software: all content is GPL v2.0 licensed.

Ilija graduated from the Master Degree Program in informatics at the Faculty of Science and Mathematics in Kragujevac, Serbia. He has ten years of experience in the software industry, holding various positions including engineering team lead. Ilija has five years of experience in ML for recommender systems and regression models in real estate, betting, and gaming domains.