Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 5

- End-to-end solution for text dialogue analysis and Question/Answer patterns extraction
- Labeling process setup with custom self-developed labeling tool using Active learning techniques 

- Provided solution for complex Supply Chain problems with high impact on product value
- Successfull implementation of NLP approaches in Supply Chain domain
Experience

- 4 years as a Data Scientist
- Before - 3+ years as a Software Engineer

Skills

- Programming (Python as a main language, had commercial experience with R, and Web development)
- Machine learning algorithms (classification, regression, clustering, topic modelling, anomaly detection, etc)
- NLP (Text processing, embeddings, texts classification and clustering), Transformers, etc
- Deep Learning using PyTorch
- Data pipelines (ETL, EDA, Data Cleaning, Models serving and monitoring)
- Experiments setup and tracking. Configurations management
- Good Data Visualisation, App prototyping skills, and Dashboards development (Data Studio, Streamlit, Shiny, Plotly, etc)
- SQL experience (MySQL, PostgreSQL, BigQuery, etc)
- Development methodologies (Kanban, Scrum). Jira and other task-tracking tool
- Git, Docker, worked within AWS infrastructure