Selected work
Retail demand planning, financial data engineering, and transaction analytics, alongside completed work with transit, mobility, and public retail data. In-progress architecture is labeled as planned direction.
A market-data platform in progress, designed around repeatable ingestion and analytics from financial APIs.
Planned architecture
Transaction performance analysis across approximately 6.36 million synthetic PaySim records, including approval and decline rates, simulated fee revenue, and reconciliation controls.
Planned architecture
An end-to-end retail analytics platform using public data to connect demand planning, financial performance, and inventory decisions.
Built a workflow for forecast-versus-actual analysis, variance review, and scenario-based revenue, gross profit, and inventory planning, with results presented in Power BI.
Operational analysis of the MBTA Green Line using official GTFS data, Python, SQL, and Tableau.
The project focuses on service performance measures such as headways, schedule adherence, and operational KPIs.
Demand and revenue analysis across more than two million NYC Yellow Taxi records using SQL and Power BI.
Analysis covers high-traffic zones, hourly trip patterns, payment types, trip distance, and revenue.