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

ML-thematic research thesis. mlcourse.ai(by Open Data Science global community) graduate. SpinoffHack 48 hackathon participant.
Participated in Kaggle classification and regression competitions. Familiar with multivariate (categorical and numerical) and text data.  Following stages of the data science process have been worked out: Exploratory data analysis, data preprocessing, modeling, hyperparameter tuning, result validation
Various issues encountered: feature extraction, feature engineering, feature transformation, dealing with overfitting, combining different models into ensembles
Looking for a friendly team of professionals to be able to grow in many Data Science directions in various business domains