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


Background
General: Mathematical Statistics, Probability Theory, Python
Time-Series Analysis: Time-Series Classification, change points detection
Intellectual Data Analysis: Statistical data analysis, data processing, detection of multi-correlation
and heteroscedastic effects, missing data handling, outlier detection, clustering algorithms
Machine Learning: Applying metrics for understanding the quality of ML models, overfitting detection techniques, imbalance data handling, feature importance

Skills
Programming Languages: Python, R, SQL
Web Technologies: HTML, CSS, JavaScript
Frameworks: Flask, Django
Version control: git, GitHub/Bitbucket
CI/CD: CircleCI, Jenkins
Databases: MySQL, PostgreSQL, MongoDB, BigQuery
Cloud providers: Google Cloud Platform
IDE’s: PyCharm, VSCode, Jupyter, Eclipse 
Testing Tools: pytests, unittests, Postman 
SDLC: Agile, Scrum, Kanban, XP
Operating Systems: Windows, Linux
Others: Jira, JSON, XML, CSV, REST, pandas, numpy, keras, scikit-learn, matplotlib, seaborn, scipy,
  spacy, nltk, TextBlob, wordcloud, lightgbm, XGBoost, catboost, pydantic, alembic

Work experience:
- Python developer - IGTM NAS of Ukraine
June 2020 – August 2022
- Middle data scientist in ATB-MARKET
March 2023 - present time

Education
Bachelor degree. 2017-2021. System Analysis. National Technical University. 
Master degree. 2021 - 2022. System Analysis. National Technical University.