Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 0

1) Top 100 teams out of 535, MathWorks Math Modelling Challenge, United States 
2) Bronze medal, International Astronomy Olympiad, 2019
3) 2nd place, National Research Competition, Ukraine, Astrophysics and Astronomy 
Applied Computer Science skills to model the movement of the starship from the Earth to Mars and back. 
4) Cofounder of the "SMUZI" - a team that works on developing a mobile app for Ukrainian schools 
5) Cofounder of "SortStep" - youth NGO that is creating sorting infrastructure in the schools in Ivano-Frankivsk oblast
I have worked in big teams on different non-profit projects in managing positions. Have used the Agile method while managing the mini-team of software developers. Also, have experience in doing research(on the intersection of Computer Science and Physics) that was recognized in the high-school-students research competition on the national level. 
A strong background in math: building statistical models, applying mathematical analysis to real life. I have participated in a National tournament in Math modeling in the United States, where my team got to the second round of judging(100 teams out of 535). 
4 years of experience in Computer Science - I have tried myself in different branches and different languages/technologies.
1) Java/Flutter mobile development
2) web development with Python(Django)
3) worked a lot with MySQL
4) little experience in C/C++ and Assembler 
5) have theoretical knowledge in algorithms and data structures, and the architecture of computing systems. 
Recently have learned the basics of Data Science and Machine Learning and want to continue developing myself in this branch - as a way to use my Math skills.
Have experience with Pandas, NumPy, Docker, scikit-learn, applying regressions, building neural networks, and statistical models.
I'm interested in applying machine learning to real-life problems. As my biggest passion is math - I am also deeply interested in building math models. During the work, I expect to study a lot and extensively while working with the new technologies for me, as well as getting better with technologies I know.