Position: Data Science Engineer at Interlogic
Category: Data Science
English level: upper
Years of experience: 1.5

Completed Epam data science program
Completed "Deep Learning" by Andrew NG
Completed "Databases and SQL for Data Science from IBM" 
Completed "Design patterns from University of Alberta" 
Completed statistics course
Got related certifications
10.2021 - 02.2023 Worked as a data scientist at Interlogic/Lobyco(COOP).

Experience with data science workflows: 
- Data acquisition and understanding
- Exploratory data analysis
- Data preparation
- Relative statistics hypothesis test conduction
- Training, tunning ML models
- Results and quality consideration
- Storytelling obtained results to business

Experience with NLP - language models(Word2Vec, RNN, Transformers, etc.)
Experience with recommender systems(collaborative filtering, content-based filtering, etc.) with NLP enhancement
AI-relevant experience: classification cracks on rails (computer vision filtering, CNN and random forest application altogether), robot lidar localization(robotics), coin segmentation on video file (cv filtering).
Got experience as a software engineer, creating web-based application.

TECHNOLOGIES:
Python (Core + DS libs), C++ - basic level,
SQL Server/SQL, MySQL, Pyspark,  Delta Lake, MlFlow, Pytorch, transformers, Word2Vec, Numpy, Matplotlib, Scikit-learn, NLTK, Spacy, Pandas, Plotly.

TOOLS:
Azure Databricks, Jupyter Notebook, VSCode, Pycharm, Git, Azure Devops, Azure Board, dbx.

OS: Windows, Linux.