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Data Scientist
I received my PhD degree in mathematics at the Faculty of Mathematics and Physics, University of Ljubljana, Slovenia, in 2013. The PhD thesis entitled "Descent Direction Methods in Multiobjective Optimization" proposes a new quasi-Newton's method for multiobjective optimization and includes a broad overview of state-of-the-art algorithms for multiobjective optimization. My main interests are based on applications of mathematics in various real-world problems, specifically from the fields of optimization and multiobjective optimization, data science, data analysis, statistics, and numerical mathematics. Besides that I enjoy spending time with my wonderful family. They mean the world to me!
University of Ljubljana, Faculty of Mathematics and Physics
Doctor of Philosophy (Ph.D.), Applied Mathematics
January 1, 2008 – January 1, 2013
University of Ljubljana, Faculty of Mathematics and Physics
Bachelor’s Degree, Applied Mathematics
January 1, 2003 – January 1, 2008
Börse Stuttgart Digital
Senior Data Engineer / Scientist
January 1, 2023 – Present
Šenčur, Slovenia
BISON App
Senior Data Enginer / Scientist
December 1, 2021 – Present
Šenčur, Slovenia
Sowa Labs GmbH
Senior Data Engineer / Scientist
December 1, 2021 – January 1, 2023
Šenčur, Slovenia
Trilogic d.o.o.
Software Developer
December 1, 2019 – October 1, 2021
Ljubljana, Slovenia
ehrana.si
Software Developer
December 1, 2019 – October 1, 2021
Ljubljana, Slovenia
Elaphe Propulsion Technologies Ltd.
Developer of artificial intelligence
September 1, 2016 – October 1, 2019
Ljubljana, Slovenia
XLAB
Software Developer
January 1, 2014 – August 1, 2016
Ljubljana, Slovenia
Turboinstitut
Young Researcher
September 1, 2008 – September 1, 2013
Ljubljana, Slovenia
Cultural Fit Analysis
The candidate has worked across various companies, including digital finance, logistics, and automotive, demonstrating adaptability to different industry contexts. The consistent focus on data analysis, machine learning, and optimization across roles suggests a strong alignment with data-driven cultures. However, the lack of explicit project details makes it difficult to fully assess collaboration style or initiative beyond technical contributions.
Soft Skills & Operational Fit
The candidate's resume highlights project management experience and involvement in research projects, suggesting strong analytical, problem-solving, and potentially collaborative skills. The descriptions of providing insights for data-driven decisions indicate an understanding of operational impact.