Projects
A selection of hands-on projects built around predictive modeling, real-world data workflows, and live trading automation.
Machine Learning
Built a classification model to identify 3,000 banking clients most likely to invest in a second campaign round. Compared 5 models and selected Logistic Regression based on performance and interpretability.
Trading Automation
Designed an event-driven decision engine in Python that reacts to intraday market data, evaluates signal conditions, and manages automated trade execution through the Interactive Brokers API.
Trading Automation
Built a second version of the decision engine for options instruments, adapting execution logic and risk rules to a different asset structure.
Applied AI
LLM-powered portfolio assistant using RAG that answers questions about my background and projects. Indexes documents using vector embeddings for semantic search, retrieves relevant context, and generates accurate answers with GPT-4o-mini.