Position: Data Scientist
Category: Python
English level: fluent
Years of experience: 3

Kaggle MNIST competition (98.6% accuracy)
3y experience in Web Scraping and imitation of user behaviour in well protected systems, data managment and analysis
Data Scientist with huge experience of scraping well-protected systems, user behavior imitation and cybersecurity background. 
As Data Scientist I have strong analytical skills and experience of building ML & DL models, tested on Kaggle competitions. Hypotesis testing and visualization skills gained with huge experience of data analysis in physics and biology.  

Experience:
- MNIST (Kaggle competittion): classifier of numbers from 1 to 10 with using anomaly detection, strong data analysis and CNN (98.7% accuracy for CNN, ~92% for MLP+PCA)
- Fashion MNIST: classifier of clothes' types with classical machine learning methods: CVM, Decision Tree, Linear Classifier, XGBoost. Just for fun, state-of-art is CNN architecture (accuracy 90.8%)
- Captcha generator: example of my work with image libraries
I'm passionate with Computer Vision and Generative AI, Data Analysis and Web Scraping