Position: Trainee/Junior Data Scientist
Category: Data Science
English level: upper
Years of experience: 0

Here's my experience in Kaggle competitions:
- Digit Recognizer - Learn computer vision fundamentals with the famous MNIST data – in the Top 27%
- Titanic: Machine Learning from Disaster - in the Top 20%
- House Prices: Advanced Regression Techniques
–	ML module and API for data preprocessing and prediction for Kaggle's Stroke Prediction Dataset (Python, Flask).
RESTful API for handling GET, POST, PUT, DELETE requests to a Postgres (Python, Flask, PostgreSQL).
–	Implemented a web API (Application Programming Interface) using REST approach and based on MVC architectural pattern.
–	Created realization of “Snake” game using pure Python and Gym environment.
Also, I've developed such ML algorithms from scratch as:
- Linear regression, Polynomial Regression, Logistic Regression, NBC, KNN, SVM, K-means, PCA;