Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 4

- Developed text classification model that improved automotive data search
- Developed the application for monitoring an automotive equipment condition that simplifies technical report creation from 2 days of routine work to several mouse clicks.
- Developed several credit scoring models (ML classification problem) from scratch to deployment.
- Performed annual banking stress-test analysis that was recognized by Supervisory Board as the best one for many years.
- Finished "Machine Learning Scientist with Python" certificate program at DataCamp and additional courses in Deep Learning, NLP, Statistics, and Data Visualization.
- Published 7 scientific papers in theoretical physics.
I have 4+ years of experience in Data Science/Data Analytics and Software Engineering and 10 years in Academic Research (theoretical physics).

As Data Scientist/Data Analyst:
- developing automotive text data classification system;
- developing credit scoring classification models;
- performing credit portfolio analysis, generating insights to improve credit risk management strategy.

As Software Engineer:
- developing backend with Python for desktop applications in enterprise projects (automotive area);
- building ETL pipelines to transform specific automotive data from proprietary database structure into a traditional relational database.

As Theoretical Physicist:
- conducting theoretical research of the fundamental effects related to the interaction of metallic nanoparticles with an electromagnetic field.

Tools:
- Python libraries: scikit-learn, scipy, tensorflow/keras, nltk, spacy, gensim, numpy, pandas, matplotlib, seaborn;
- SQL: complex queries, stored procedures;
- MS Excel: pivot tables, macros;
- JIRA, Confluence;
- TFS version control system.