I am a Machine Learning engineer. My main areas of focus are data analysis, cleaning and processing, model testing and development, and data visualisation.

Mathematics, probability theory and graphs have accompanied me since early childhood. My parents never had to force me to pick up a book with out-of-the-box exercises, I liked solving complex logical and mathematical tasks. My brain is always ready to process a lot of information and find solutions.

Over time, I realised that mathematics was something I wanted to get involved with. Fortunately, I live in a time where mathematics is closely intertwined with computer science. New directions and professions are emerging that didn't exist before. Data science is one of those directions. It has everything I like - mathematics, structuring, working with data, building models from them, analytics.

My simultaneous knowledge of mathematics and philology allows me to develop in a direction such as NLP - Natural Language Processing and computational linguistics.

In fact, my brain is ready to perceive and process a lot of information. And it is not only about formulas and tables. I read a lot. History, literature and languages interest me just as much as data science. In addition to my data science skills and knowledge, I have a bachelor's degree in philology, which helps me write articles and do translations. All this allows me to write materials on technical subjects. Machine and deep learning, software, various algorithms. Mathematics, such as theory of probability, statistics, combinatorics and cryptography. Moreover, I understand the processes that can be encountered in the Software Development Life Cycle. You can read them in my blog.

I speak English, Polish and Russian.