Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 3

Commercial experience:
-Took part in Developing PostgreSQL and MongoDB application for high speed access to large volumes of data. 
-Successfully developed Recommendation System for application with active users. 
-Fully configured and managed PostgreSQL DB with PostGIS extension for team of Data Scientists with all its ETL processes. 
-Successfully automatized and scheduled lots of data gathering, processing and report making processes.
-Successfully developed model for product recommendations based on real customer data.
-Successfully developed Time-Series based recommendations based on real customer data.


Before commercial experience:
Many interesting pet-projects, including NLP chatbot, Emotion recognition system and etc.
Data Scientist with more than 3 years of commercial experience. 
Have solid experience with SQL databases.
DB infrastructure set up, DB Engineering, DB management, ETL processes optimization. 
Experience with NoSQL databases MongoDB and Redis.
Solid experience with AWS: AWS Lambda, AWS EC2, AWS  SageMaker, AWS RDS, AWS Redshift.

Solid ML experience.
ML model development and enhancement.
Product recommendations model development based on real customer data, Time-Series recommendations, ensemple methods, three-based methods, XGBoost, CatBoost, Statistical analysis, Images processing: OpenCV, Tensorflow, Pytorch, DNN, CNN.
NLP - Key-words analysis, Sentiment analysis, Word Embeddings, Ngram, RNN, LSTM, Attention.
Team work, interesting projects, opportunity to communicate with team and clients.