Data Scientist

Experience

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.

Skills

Python Machine Learning Data Science Jupyter Notebook numpy scikit-learn Pandas matplotlib Deep Learning NLP Git statistics