Data Scientist
Coming from quantitative finance background, I am working extensively on applied ML, data analytics and NLP. I help companies make sense of their business data in the most simple and interpretable way.
Based in Toronto, ON.
Below you can find my recent projects, skills and My Resume.
End-to-end machine learning project applied to real-world business problem. This project is trying to depict housing situation in Toronto and find out what affects the current prices. Focus is on exploratory data analysis, feature engineering and hyper parameter tuning.
Implementation of an algorithm that tracks stocks from a selected ETF and manages portfolio by moving capital between ETF itself and underlying stocks. The main trigger of buying/selling stocks is based on Relative Strength Index (RSI) indicator.
This project aims to preprocess live tweets for further analysis. Data engendering involves prediction of key indicators including: prediction of demographics, topic, sentiment and location of the user.
Python implementation of popular machine learning models written from scratch. The project aims to make the existing code and materials more transparent and accessible for end user.
