Meet Akolia

- Developed predictive models using PyTorch (SimpleNN) and ARIMA to forecast stock market - Engineered an end-to-end data pipeline, including web scraping, data preprocessing, and sentiment aggregation - Built a custom sentiment indicator using NLP techniques and transformer-based Llama models (LLMs) on Reuters financial news - Evaluated models using MSE, MAE, SMAPE to showcase improvements in prediction accuracy - Demonstrated the role of sentiment analysis in enhancing stock market forecasting

- Built Python web scrapers (Requests, BeautifulSoup) & API clients for data analysis projects - Implemented basic ML models using scikit-learn for prediction tasks to gain hand-on experience in ML workflow - Applied NLP techniques (preprocessing, tokenization) for text analysis using Python's NLTK - Gained proficiency in SQL for database querying and dev tools and editors (Git, VS Code, Jupyter) - Supported reporting tasks and contributed to regular data-driven strategy updates

Specializing in Data Science

Specializing in Computer Science