Tomaž Hočevar

Founder Bang & Olufsen Distribution In Slovenia at Pikado d.o.o.

Slovenia
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Summary

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Rockstar
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Top School
Tomaž Hočevar is an entrepreneurial engineer with 13+ years of experience building and running consumer electronics and luxury AV businesses in Slovenia, currently co‑founder and head of finance, marketing and operations for Bang & Olufsen distribution in the country. He combines hands‑on technical training (mechanical engineering) with a Master’s in Management and deep commercial experience across retail scale‑ups, logistics and systems implementation. A natural problem solver and out‑of‑the‑box thinker, he has led rapid revenue and headcount growth initiatives and implemented advanced information systems during periods of heavy expansion. In parallel he contributes to open‑source data science (Orange3) and teaches at the University of Ljubljana, bridging practical business leadership with algorithmic and machine learning interests. Multilingual and internationally mobile, he brings a broad, cross‑functional perspective useful for product, technical and strategic decisions.
code13 years of coding experience
job12 years of employment as a software developer
bookMaster’s Degree, Management and Entrepreneurship, Graduated, Master’s Degree, Management and Entrepreneurship, Graduated at University of Ljubljana, Faculty of Economics
bookMechanical engineer, University degree, Heat generation under dynamical stress, Mechanical engineer, University degree, Heat generation under dynamical stress at Faculty for Mecanical Engineering, University of Ljubljana
languagesEnglish, German, Croatian, Serbian, Bosnian, Slovenian
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Github Skills (14)

scikit-learn10
data-mining10
machine-learning10
python10
classification10
numpy10
scikit10
data-science9
testing9
naive-bayes9
scipy9
data-visualisation3
data-visualization3
data-visualizations3

Programming languages (4)

CSSC++JavaScriptPython

Github contributions (5)

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biolab/orange3

Oct 2012 - Jan 2023

🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Role in this project:
userData Scientist
Contributions:1 review, 257 commits, 134 PRs in 10 years 4 months
Contributions summary:Tomaž contributed to bug fixes, feature implementations, and tests for machine learning algorithms within the Orange3 data mining framework. Their work focused on classification, particularly addressing issues with sparse data, single instances, and probability estimation within the model. They also implemented a Naive Bayes model using a storage contingency table and added several tests for the sklearn tree and naive bayes implementations.
orangepythondata-miningorange3scipy
thocevar/orange3-prototypes

Oct 2015 - Mar 2019

Prototype Orange widgets — only for the brave.
Contributions:10 pushes, 5 branches in 3 years 4 months
widgetorangeprototypebravewidgets
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