Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 2


- Customer Data Platform & Warehouse development: building scheduled queries and cloud functions on GCP;
- Customer performance evaluation model: based on users activity data, developed anomaly detection model (IQR method); 
- Entity recognition: developing the mechanism which is able to recognize different representations of a particular entity in the text data and cluster them into one group;
- Time series analysis;
- Scoring model development: based on the participant's information, developed a statistical algorithm, that produces an evaluation score for each participant;
- Sentiment analysis, text data mining: performing a set of cleaning techniques, text data analysis, building sentiment prediction model with BERT;
- Object segmentation, tracking, replacement R&D (basic experience with OpenCV).

All the projects are covered with the following libraries\frameworks:
- Handling data with Pandas, NumPy, SciPy;
- Data visualization with Matplotlib, Plotly, Seaborn;
- Developing basic ML models with Scikit-learn;
- Working with text data with NLTK, Spacy, BeautifulSoup;
- Developing Deep Learning models with Keras, Pytorch, Transformers.
I'm looking for a job in a product company with an interesting project and with the objective to improve someone's performance and simply make our life better.
Preferred fields of activity are Machine Learning\Deep Learning, NLP.