Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 0.5

I have several pet-projects and educational projects: 
- Serials heatmap - application that creates a heatmap from serial's episodes rating from imdb. BeautifulSoup and Seaborn used
- Speaker identification by voice - university project. I worked in team and was responsible for feature extraction and neural network model implementation. Keras library was used
- Telegram bot - was my first project created to test my skills, pyTelegramBotAPI and MongoDB used
- Neural network from scratch - gave me a better understanding of the in-depth working of a neural network, NumPy used
- Predict Future Sales on Kaggle - final project for the course “How to Win a Data Science Competition”. I've used mean encoding, XGBoost and models stacking to predict sales
I am finishing my bachelor's degree at the Faculty of Applied Mathematics at the National Technical University of Ukraine 'Kyiv Polytechnic Institute'. Here I received knowledge on different fields of mathematics, data structures and algorithms. I have learned to work in team, to cope with difficulties and to find an individual approach to each person.


Skills and experience:
- good knowledge of Python (NumPy, Pandas, sklearn, SciPy...);
understanding of the basic methods of machine learning and experience of their application;
- practical skills in data cleaning, transforming, normalizing;
- experience with SQL(PostgreSQL, MySQL) and NoSQL (MongoDB);
- worked with Git, Tableau, Docker.

Soft skills:
- analytical and critical thinking - objectively analyze questions, hypotheses, and results;
- intellectual curiosity - desire to acquire more knowledge and apply them to use problems;
- effective communication - can clearly and fluently explain my findings to both technical and non-technical audience.
Waiting for an opportunity to use my skills and knowledge and to develop new ones. It would be a pleasure for me to work on challenging and interesting projects with a friendly team of professionals and improve myself in the field of data science.