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


I participate in Kaggle competitions and solve tasks of classification, regression and natural language processing mainly using scikit-learn, pandas, NumPy and statistical concepts. I use Matplotlib and seaborn for data visualization and have basic experience with nltk.

I got inspiration and understanding of supervised and unsupervised ML technics from Coursera tasks (completed ML course by Andrew Ng) and refreshed university knowledge with Stepik "Fundamentals of statistics".

I studied software engineering in Kyiv Polytechnic Institute. Graduated in June, 2019 from faculty of applied mathematics. Got programming and math skills, in particular Python, probability theory, statistics, web, SQL, git.
I am looking for my first full-time job in data science/machine learning/AI field. In this position I want to use current knowledge for real world tasks in team environment and - boost knowledge in directions of classical ML and deep learning