I'm a Data Analyst and Analytics Engineer specialising in SQL, Python, dbt, BigQuery, Power BI, and Looker Studio. My background is unusual, I spent 2+ years in performance marketing analytics before transitioning into full-stack analytics engineering, which means I understand both how data pipelines are built and how the business decisions on the other end actually work.
Recent work includes building a production-style dbt pipeline on BigQuery tracking 2.7M+ revenue across 5 marketing channels with churn risk segmentation and cohort retention analysis; delivering a governed admissions analytics pipeline for Saint Louis University with a SQL KPI validation framework achieving 100% accuracy; and engineering a multi-CTE ROAS optimisation engine projecting 20–25% ROI improvement from channel reallocation insights.
I was recognised as Star Performer from the full intern cohort at the Saint Louis University x Excelerate internship — awarded for technical precision, team leadership across time zones, and delivering a live dashboard used for real admissions decisions.
I'm currently targeting junior to mid-level Data Analyst, Analytics Engineer, or BI Analyst roles remotely — ideally with teams in fintech, e-commerce, or marketing where data pipelines connect directly to revenue decisions.
