Position: Senior Data Scientist/Machine Learning Engineer
Category: Data Science
English level: fluent
Years of experience: 5

Successfully deliver to production:
* set up from scratch machine learning model deployment flow with CI.
* document categorization project with high amounts of models and Big Data;
* search recommendation improvement tool;
* sentiment analysis model;
* key-phrase retrieval project.
Data Scientist, with expertise in Natural Language Processing area and solid mathematical background. 
I have experience with:
•	solving low- and limited- resources problems;
•	working on big projects with high amount of models, and guide it from designing to delivering into production;
•	providing data and model insights.
My experience allows me to be both a researcher data scientist and connect conducted research for business needs.
I am an active DS community member, interesting in Explainable AI and Anomaly Detection.

Experience:
Working as a full-stack data scientist – communicate with customers, define requirements and data collection/labeling process, build and develop DS solution, deploy it as a ready-to-use service and communicate regarding integration with customers.
As well I has experienced in more engineering role, which involves setting up model deployment process, prepare machine learning services.
Working with rich data as pdf files, that have multiple modalities and developing complex models with structured outputs. Developing novel algorithms and working prototypes for information retrieval,  key phrase extraction from documents for multiple languages. Create solutions related to key phrase extraction, topic modelling, NER recognition,  text clustering and classification, documents similarities.
Flexible schedule, ability to work remote, the opportunity to grow and contribute to the community.