Position: Data Scientist/Data Engineer
Category: Data Science
English level: upper
Years of experience: 0


I had experience in commercial projects as Unity Developer (C#). Along with good code-style practices I also gained experience in the product development cycle and working in a team. 

When it comes to working with data, I have experience with Python (including relevant tools for engineering: Kafka, PySpark, MongoDB, and as well for data analysis and machine learning: Pandas, Numpy, Scikit-learn, Scipy)

I have a few pet-projects working with all those technologies, including:
- Image Segmentation (Research and comparison of algorithms, working with CNN + PyTorch implementation)
- Wikipedia Data Stream Processing (Implemented system which processes Wikipedia stream data with the further access to it from REST API endpoints using Apache Spark Streaming, Kafka, Cassandra, FastAPI)
- Matrix factorization (collaborative filtering) for recommendation systems (explore the use of matrix factorization techniques for collaborative filtering in recommendation systems - implementation of Singular Value Decomposition, Non-negative matrix
Factorization and Alternating Least Squares algorithms.)

I'm interested in growing in this direction and learning new things.