I work at the intersection of financial mathematics, machine learning, and data engineering to turn raw information into clear, reliable, and actionable insights. My role involves building and maintaining robust data pipelines, automating risk and valuation calculations, and developing predictive models to anticipate real estate market dynamics. With a background in both actuarial science and data engineering, I place strong emphasis on data quality, traceability, and performance to provide product teams and financial partners with reliable insights. Every day, I operate in an environment where technical innovation serves a tangible mission: making real estate data smarter, more transparent, and more useful for decision-making.