Programm engineer, developing in the field of Data science. I know how to collect and process information in large volumes, build machine learning models based on them. I can deploy a service in docker-compose and deploy to a dedicated private server.In my free time, I study and solve problems on such sites as udemy, stepik, codewars. I tried myself at Kaggle competitions.I can create automated scripts to collect information on various resources\platformsIn addition, I am developing web applications in python using Django\Flask\FastAPI and related libraries and frameworks.I know and understand C++ at a basic level.Work with legacy code and try to write my own efficiently.Hobbies: former professional swimmer, now boxer, love motorcyclesGitHub profile: https://github.com/Tomasittostack of technologies:*Python 3* PostgreSQL, DBeaver, SQLAlchemy*github*Pandas, NumPy*Machine learning (scikit-learn, decision trees, knn, linear regression, logistic regression, bagging, boosting, random forest, pca, gradient boosting, clustering, feature engineering, feature selection, time series analysis)*Tensorflow*Visualization (matplotlib, seaborn, Tableau)*Scraping (requests, beautifulsoup, selenium), working with social media APIs (vk, twitter, instagram, etc.)*Fundamentals of web development (HTML, CSS, JS, Django, DRF)*Docker, docker-compose*Scraper*PyTest*Selenium*asyncio*aiogram*Linux, bash*Algorithms and data structures*OOP