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


- Technologies: Python (pandas, numpy, sklearn, scipy, pyspark etc.), Keras, Tensorflow, Pytorch, SQL (Oracle, Clickhouse), PowerBI, AWS, R, Linux, Matlab, RapidMiner, Git, Jira, Confluence, MS Office (Excel, etc.)
- Data analysis, machine learning, deep learning, computer vision (CV), natural language processing (NLP), statistics, scrum, kanban
- Indicators forecasting
- Improved computer vision (CV) algorithm’s performance by 3 percentage points
- Implemented machine learning and deep learning to NLP task
- Improved machine learning (ML) algorithms (regressions, ensembles, etc.) performance (up to 15%) for time series forecasting
- Conducted data preprocessing and analysis, visualization
- Developed data visualization application and its new features
- Optimized programming code for faster execution
- Fixed application’s bugs, refactored programming code
- Enhanced decision-making process through hypothesis testing