RFM Customer Segmentation · ZooTampa
Segmented guests by Recency, Frequency, and Monetary value from real transaction data, then surfaced the groupings in Power BI to support targeted, business-relevant decisions.
04 / Skill · BI
Microsoft-certified Power BI Data Analyst (PL-300). I build decision-ready reporting that links semantic modeling to practical business action.
My BI work combines metric design, semantic modeling, and narrative structure. At ZooTampa I build reporting on real point-of-sale data; in my portfolio builds I own the full path from warehouse model to published dashboard. The focus is the same everywhere: fast to read, aligned to real KPIs, and useful to non-technical stakeholders.
Segmented guests by Recency, Frequency, and Monetary value from real transaction data, then surfaced the groupings in Power BI to support targeted, business-relevant decisions.
Built a business-facing dashboard that tracks sales performance, behavior shifts, and agent-driven outcomes in the mock market ecosystem.
Integrated weather and transaction signals to show timing and demand effects on ticket behavior.
Created a monitoring layer for suspicious transaction patterns and fraud signal interpretation.
E-commerce build with analytics-ready data that supports reporting and operational reviews.