Position: Machine Learning Engineer , Data Scientist (strong junior, middle)
Category: Data Science
English level: upper
Years of experience: 1

2nd place at "Hack4Retail" hackathon, Data Science for Retail (November 2021)
2nd place at "IPT Hack", Data Science (February 2022)
Participation in Kaggle competitions.
I'm passionate data scientist with solid mathematical base and
different experience in Machine Learning.
Classic ML, CV and NLP projects. Completed educational ML courses on Coursera, Stepik. Participation in data science competitions (2-nd prize on "Hack4Retail", 2-nd prize on "IPT hack", Kaggle challenges).
Currently looking for "Data Scientist", "Machine Learning Engineer", "Computer Vision Engineer" roles.

My skills:
Applied Mathematics - Probability/Statistics/Stochastic processes, Optimization, Numerical methods;
Algorithms and data structures;
Python (numpy, scipy, pandas, matplotlib, sklearn, PyTorch, OpenCV, Blender);
C/C++ (standard library, SFML);
MySQL/SQL Server;
Classic machine learning (classification, regression tasks, clustering, reduction of dimensions, ranking, etc); 
Computer Vision (image classification, detection, segmentation, 3d reconstruction);
Natural language processing (classification, generation of text, topic modeling, sentiment analysis, etc).

More information in CV and Linkedin profiles
I like all kinds of Data Science, I have a lot of experience with tabular data. Computer vision is preferable, but also able to develop projects in the NLP direction.

Not interested - PowerBI/Tableau, Data Engineer roles.