Matej Klemen

Young Researcher at University of Ljubljana, Faculty of Computer and Information Science

Slovenia
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Summary

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Senior
🎓
Top School
Matej Klemen is a Young Researcher and PhD student at the University of Ljubljana with 10 years of software and research experience focused on deep learning for NLP and explainability methods. He has progressed from student researcher to his current academic role while working extensively with word embeddings and practical model interpretation techniques. Matej contributes to open-source projects such as Orange3, where he improved visualization and analysis UX by adding boxplot sorting, ROC threshold tooltips, and percentile-based feature selection. Comfortable bridging research and engineering, he also has hands-on web development experience from building and administering university WordPress sites. Based in Slovenia, he combines rigorous academic training with user-centric tooling improvements that make complex ML analyses more accessible.
code10 years of coding experience
job4 years of employment as a software developer
bookMaster's degree, Master's degree at University of Ljubljana, Faculty of Computer and Information Science
bookERSŠG Ljubljana
languagesSlovenian, English, German
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Github Skills (14)

data-visualizations10
data-mining10
pandas10
machine-learning10
data-visualization10
data-visualisation10
python10
data-science10
numpy10
scikit-learn9
classification9
scikit9
regression8
testing8

Programming languages (7)

JavaScalaTeXPerlHTMLJupyter NotebookPython

Github contributions (5)

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biolab/orange3

Jul 2018 - Feb 2019

🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Role in this project:
userData Scientist
Contributions:18 commits, 5 PRs, 11 comments in 6 months
Contributions summary:Matej primarily contributed to the `Orange3` project by implementing and testing features related to data visualization and analysis. Their work included adding sorting functionality to the boxplot widget, improving the ROC analysis tooltips with threshold information, and incorporating percentile-based feature selection within the preprocessing module. These changes indicate a focus on enhancing the user experience and functionality of the data analysis tools within the Orange3 framework.
orangepythondata-miningorange3scipy
Link prediction (predicting whether X kills Y) for first 6 seasons of Game of Thrones TV series.
Contributions:33 commits, 19 pushes, 1 branch in 1 year
predictionmachine-learninglink-predictiongame-oflink
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Matej Klemen - Young Researcher at University of Ljubljana, Faculty of Computer and Information Science