Tomaž Hočevar
Founder Bang Olufsen Distribution In Slovenia at Electra trade d.o.o.
Slovenia
Summary
🤩
Rockstar🎓
Top SchoolTomaž Hočevar is the founder and distributor of Bang & Olufsen in Slovenia and a business and financial adviser who combines engineering training with commercial leadership. Trained as a mechanical engineer with a master’s in management and entrepreneurship, he has led sales, marketing and executive functions across retail and corporate channels since the 1990s. He also teaches at the University of Ljubljana and contributes to the Orange3 open-source data analysis framework, implementing and testing machine learning components such as Naive Bayes and sparse-data fixes. Multilingual and travel-ready, he is a pragmatic, out-of-the-box problem solver who bridges technical depth with hands-on business execution.
13 years of coding experience
12 years of employment as a software developer
Master’s Degree, Management and Entrepreneurship, Graduated, Master’s Degree, Management and Entrepreneurship, Graduated at University of Ljubljana, Faculty of EconomicsMechanical 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
English, German, Croatian, Serbian, Bosnian, Slovenian
Github Skills (14)
scikit10
data-mining10
machine-learning10
python10
classification10
numpy10
scikit-learn10
data-science9
testing9
naive-bayes9
scipy9
data-visualisation3
data-visualization3
data-visualizations3
Programming languages (4)
Github contributions (5)
biolab/orange3
Oct 2012 - Jan 2023
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Role in this project:
Data Scientist
Data ScientistContributions: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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