A visualization is only as powerful as the model supporting it. The projects featured here are the result of an end-to-end engineering lifecycle—from scraping raw historical data and untangling messy sources with Python to architecting robust risk models in DAX and TMDL.

Each entry represents a deep-dive into complex market dynamics, designed to transform fragmented datasets into clear, actionable, and investment-ready narratives. By bridging the gap between raw data engineering and human intuition, I ensure that every graph is not just a display of numbers, but a storyline of movement and a catalyst for decisive action.