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


A project that uses scraping technique and Machine Learning to search and select the best answers for ChatBot:

 - scraped web pages and quick answer boxes with the use of Java programming language, jsoup library and selenium;
 - used Levenshtein distance to calculate similarity between sentences;
 - implemented NLP text summarization model to extract important information from text.

A project about analyzing UFC fights and predicting the results of future events. Achieved 69% accuracy with cross validation:

 - used Python to clean, transform and analyze data;
 - implemented feature engineering, information extraction and clustering;
 - created Machine Learning models using SVM, Decision Trees, Regression, etc;
 - deployed solutions and configured the environment for other data scientists by resolving dependencies and compiling libraries.

A project that uses algo-trading and Machine Learning techniques for crypto exchange trading:

 - implemented Reinforcement Learning algorithm for trading;
 - co-developed Genetic algorithm to improve trading system;
 - contributed to creating and deploying custom trading environment for backtest and live trading;
 - created lucrative Machine Learning model for predicting future growth and decline of stock prices.