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


Medicine project. Building forecasting model according to patient's medical history (recommendation systems, association rules, neural networks (LSTM)).
Finance project. Clustering traders and deals (K-Means, Spectral clustering, Hierarchical clustering, DBSCAN, graph clustering) and trader strategies modeling.
YELP restaurant photo classification (Kaggle competition). Transfer learning, XGBoost, AWS for computations.
Betting project. Analysis of online betting domain (horses), strategies modeling.
Agriculture project. Creating BI-system with Tableau.
Urban project. Analysis of citizens mobility based on telecom data.
Document classification project. Labeling legal texts' parts with some hierarchy level according to visual structure. Feature engineering, clustering, creating specialized algorithms for text cleaning, cascade of models.
Computer vision project. Face recognition, emotions, gender and age recognition with neural networks, PostgreSQL.