Position: Data Scientist/ML engineer
Category: Python
English level: fluent
Years of experience: 3

Kaggle Competitions (2018 - present)
Cinema Challenge Hackathon 2020 (Recommender Systems)
Deloitte Data Science Hackathon 2020 (NLP)
Megogo Hackathon 2018 (Recommender Systems)
Pet projects: 
Website for ARS startup (Angular CLI)
Python parser for extracting earnings releases of selected company  from marketwatch (Python 3.7)
System Analysis labs (PyQt, Python 3.7)
Chess interface (C++)
Guitar Tuner/Metronome (Java)
Database of automotive manufacturing factory (SQLite)
Hi! I am a newly-minted bachelor of System Analysis. Among subjects i studied in university are Linear Algebra, Probability Theory, Statistics and Math Analysis. During previous years I also participated in several ML courses such as Udscourse, AISaturdays, Machine Learning Crash Course by Google, SoloLearn courses on SQL and Python. I have 3+ years of experience with python, ML algorithms and common libraries and tools for data science (jupyter, numpy, pandas, matplotlib, sklearn). I also have experience with using SQL(MySQL) databases and Git. Apart from python, recently I tried myself as Angular CLI developer for university project. I Currently seek a position to continue growing in the areas of ML and DS and to begin implementing my knowledge in real projects.
I hope to find an interesting project that would allow me to grow professionally as well as friendly team with whom I will be able to learn and improve. It would be most interesting for me to work in the areas of natural language processing, recommender systems or computer vision. I definitely do not want to work in Excel and waste time building simple linear regressions.