Uroš Živanović

Data Scientist ML Engineer at Valcon

Uroš Živanović's work experience includes roles as a Data Scientist/ML Engineer at Valcon, a Data Scientist/Data Engineer at FEVO, a Data Analyst/BI Developer at NCR Corporation, and a participant in the Work and Travel Program - USA at Holland America - Princess. Additionally, Uroš has experience in data collection, processing, and analysis as well as field data collection and management at the Statistical Office of the Republic of Serbia. Throughout these roles, Uroš has gained experience in various data analysis and management techniques, including SQL querying, data wrangling, text mining, and report automation. Uroš has also worked with technologies such as Azure MLflow, Elasticsearch, Kibana, and various data analysis libraries.

Uroš Živanović's education history includes a Ph.D. in Sociology from the Faculty of Philosophy, which they pursued from 2022 to 2025. Prior to that, they completed a Ph.D. in Demography with a specialization in Population Studies and Demography from 2013 to 2022. Uroš also holds a Master of Science degree in Demography from the same field of study, which they obtained between 2011 and 2013. Uroš started their academic journey with a Bachelor's degree in Demography from 2006 to 2011.

In terms of additional certifications, Uroš has obtained various qualifications related to data engineering and analysis. Uroš has completed courses such as Apache Kafka Fundamentals, Airflow Workflow Orchestration, Data Engineering on Azure, MongoDB Fundamentals, Data Engineering on Databricks, Apache Spark Fundamentals, Computer Science Fundamentals, Microsoft Certified: Azure AI Fundamentals, Microsoft Certified: Azure Data Scientist Associate, Modern Data Warehouses & Data Lakes, and Microsoft Certified: Azure Data Fundamentals. Uroš also has certifications in Choosing Data Stores, Data Platform And Pipeline Design, Platform & Pipelines Security, and Schema Design Data Stores. These additional certifications indicate Uroš's commitment to enhancing their skills in data engineering and analysis.

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