Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 0


For the past 5 years I'm studying ML systems development approaches at every stage: from data collection and storage to implementation and deployment of ML model. I have extensive knowledge of mathematical statistics, optimisation, machine learning, database development and Rest API. I want to get practical experience as a Data Scientist on real projects.

Web scraping: Scrapy
Deep / Machine Learning: Pytorch, scikit-learn
Data manipulation: Pandas, Numpy
SQL Databases: PostgreSQL
Rest API: Fast API

Understanding concepts of OOP (python)
Basic work skills with AWS and A/B environment

In recent years, I have worked on the following own projects:

- Anomaly detection in multivariate time series that describe the state of server hardware (CPU load, network usage, memory usage, etc.). To solve this problem, a combination of algorithms was used: Variational AutoEncoder neural network (VAE) and SPOT algorithm of Extreme Value Theory. 
- Modelling of nuclear reactor core cooling process using methods of mathematical physics. 
- Search the optimal location of the operational brigade in the city (for example: ambulances, mobile security groups, etc).
- career progression
- new knowledge and experience of working with real projects