I built a SaaS subscription analytics pipeline that ingested 825K+ records into an indexed PostgreSQL star schema and calculated normalized Monthly Recurring Revenue. Its Power BI suite audited $108.5M in MRR and identified a $2.85M recovery opportunity.
For an enterprise automotive audit, I modeled $389M in retail transactions across 48 dealership nodes and identified an opportunity to capture $1.2M in recurring billing. I also developed time-series profit forecasts with back-tested variance under 2.1%.
I built a Brazilian e-commerce pipeline for 100K+ marketplace records and segmented 93K+ customers into five RFM tiers. The accompanying Power BI analysis examined repeat purchasing and regional fulfillment times.
As a Data Analytics Intern at MedTourEasy, I developed clinical Power BI dashboards and Python and Excel validation routines. At Future Interns, I analyzed e-commerce and campaign data and created performance scorecards and inventory reorder briefs.

