Architecting
data intelligence.

My career sits at the intersection of data strategy, analytics engineering, and governance, an operating model allowing organizations to make faster, more confident decisions across business units. I am a recent graduate of the Master of Science in Data Science program at the University of Virginia and a recipient of the Wood Family Outstanding Student Award. Over the past two decades, I have led the work of turning fragmented source systems into unified, trustworthy data warehouses executives actually rely on.

I build hands-on in Python and SQL, with production experience across cloud data ecosystems (AWS, Snowflake, BigQuery, Spark) and modern ML frameworks (scikit-learn, XGBoost, ARIMA, Jupyter). I have stood up data warehouses from design through production, led legacy-system migrations while keeping downstream dashboards and reports running, and developed forecasting and churn models.

Reliable pipelines are critical to the operating model around them. I define KPI standards, data contracts, lineage documentation, and governance processes so the business gets consistent answers. Fixing data-quality issues at the source rather than patching them downstream is a core tenet of my approach. I have built and mentored cross-functional teams of analysts, BI developers, and data scientists.

Based in Hampton Roads, Virginia, I thrive in fast-paced fully remote environments where structure has to be built from the ground up. I am a self-starter who can architect long-term data strategy and execute on it.