Portfolio
Kaggle competition (2023)
Uplift modeling — predicting which customers will buy a product if and only if they receive an SMS, i.e. those who won't buy unless they receive an SMS. Rank: 18th place out of 177 contestants.
Skills:
Predicting unconventional oil and gas production (2022)
Study project with two parts:
Skills:
Google Translate detected! (2022)
"Google Translate detected!" is the battle cry of translators seeing that a translation was done by a computer rather than a human translator (implying that the translation is poor and it is clearly visible).
The purpose of this study project was to train a neural network to tell the difference between human and machine translation.
Skills:
Reconstructing functions from scanned plots (2022)
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Airbnb price prediction (2022)
Kaggle contest for the students of the Data Scientist reskilling course.
Skills:
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Clustering nations by several features (2022)
Study project: optimum clastering of nations by given features.
Skills:
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Checking Zipf's law validity (2022)
According to Zipf's law, the most frequent word in a language or a large body of texts will occur approximately twice as often as the second most frequent word, three times as often as the third most frequent word, etc.
Project purpose: check Zipf's law validity on English and Russian texts as well as the Frequency Dictionary of the Russian language.
Skills:
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Dictionary conversion (2020)
App for technical translators compiling their own glossaries.
Skills: Python.
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Building foundation design (2020)
Skills: