I am catching up on the basics in CV, ML and at the same time following the latest news and technology in all Data Science.
I have both programming and business vision, which allows me to be useful anywhere.
I am proactive and cheerful, I have good analytical skills, learn quickly and efficiently.
Ukrainian - fluent, English - Upper-Intermediate (B2) (but there is still a fear of speaking up)
Taras Shevchenko National University of Kyiv
Bachelor | 2019โ2023
Faculty of Economics
Educational program "Economic analytics and statistics"
I can do almost the entire cycle of an ML model:
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descriptive data analysis;
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data processing (cleaning, normalization, etc.);
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selection of algorithms for further data use;
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building a model of classical ML (classification, regression, clustering), classical CV (segmentation, object or shape boundary detection) or DL (classification, object detection), model evaluation;
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use of existing models (segmentation, creating or modifying images, etc.);
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providing business reports on results, benefits, etc;
โ model deployment and the backend in general.
- follow e-sports (mostly CSGO);
- play Valorant (yes, that's right, I watch CSGO tournaments, but don't play this game);
- memes;
- keeping up to date with technology news.