Position: Data Scientist
Category: Python
English level: upper
Years of experience: 2.5

Gold medal at school, diploma with honors
But my main achievement, which I will continue to work on throughout my life, is my skills, because I can do almost the entire cycle of an ML model:
- descriptive data analysis;
- data processing (cleaning, normalization, etc.);
- selection of algorithms for further data use;
- building a model of classical ML (classification, regression, clustering), classical CV (segmentation, object or shape boundary detection) or DL (classification, object detection), model evaluation;
- use of existing models (segmentation, creating or modifying images, etc.);
- providing business reports on results, benefits, etc.
Python computer vision engineer
December 2020 - current moment
(August 2023) (2y 9m)

My duties include:
- development and improvement of code logic;
- retraining models of object detection (yolo models) and photo classification for better accuracy, adding augmentations;
- application of classic methods, such as segmentation, finding lines or borders in photos and videos;
- using other modules such as MMPose, MMSegmenation, PaddleOCR, Stable Diffusion.
I expect an interesting project with a pleasant team and a lot of R&D.