Driven by a passion for data modeling and statistical precision, I design solutions that bridge the gap between actuarial science and real-time data intelligence. As an Actuarial Data Engineer in a real estate fintech startup, 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. I place strong emphasis on data quality, traceability, and performance to provide product teams and financial partners with actuarially sound 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.