About

Who?

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

Tech Stack

I mainly use R. However, the whole zoo encompasses:

• R:
  • Front-end: (Shiny, R Markdown - I use either the Open Source Shiny Server, or productionize with golem and scale with ShinyProxy via Docker); visualizations: ggplot2, Bokeh, Plotly, VisNetwork, igraph;
  • Back-end/ML: data.table, text2vec, maptpx, Rtsne, XGBoost, Matrix, mclust, and probably many more;
    
• Python/Pyspark/Apache Spark, Hadoop/HiveQL, and MariaDB, typically for ETL from the WMF Data Lake and local project databases;
• XML, JSON, RDF (code parameterizations, Wikidata dump processing);
• the Wikibase MediaWiki API;
• of course RStudio is my favorite IDE, but also Visual Studio Code and PyCharm.

GitHub

• Goran: github.com/GoranMilovanovic
• DataKolektiv: github.com/datakolektiv

License

Everything is GPL v2.0. Some code might be GPLv3.

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Goran S. Milovanović, Chief Scientist & Owner, DataKolektiv, Lead Data Scientist, Smartocto
Contact: goran.milovanovic@datakolektiv.com. This is free software: all content is GPL v2.0 licensed.