Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 2

Master's degree in applied math
Understanding of algorithms and data structures

Courses on:
Python
Machine Learning
Deep Learning

Commercial development
I worked a lot on data preprocessing, model training, CV model construction. I studied Machine Learning at university and created a coursework. In process of learning ML I  have gained experience in data preprocessing, running linear regression, logistic regression, decision trees, random forests models and fine tuning them. Also I have experience in creation and using neural networks. I have developed two pet-projects in Computer Vision with using pre-trained models and transfer learning: 
Tuberculosis detection (accuracy ~85%), 
Cats\Dogs classification (accuracy ~98.5%), GAN to generate anime faces, system to detect is the person on two photos the same, medical image segmentation using U-net architecture.

I have two years of commercial development of ML products for business: AWS recommender system and chargeback/fraud classification system, deploy on AWS using FastAPI.
Experience and career growth.