Economics graduate building data and software systems for real businesses. I like problems where the data is messy, the incentives matter, and the output has to be trusted.

Economics graduate with a strong applied statistics foundation. I build data and software systems that make analysis reliable, operations measurable, and decisions easier to execute.

My work sits at the intersection of economic reasoning, backend logic, and practical data engineering in Python and SQL. I turn multi-source operational data into clean, auditable datasets, automated workflows, and decision-ready tools.

• Designed and implemented a multi-source ETL pipeline (Bronze → Silver → Gold), standardizing platform sales into a unified analytics model
• Built unit economics and margin analysis frameworks, improving gross margin visibility across multiple sales channels
• Developed Power BI dashboards that influenced pricing and operational decisions for a real food business
• Built and maintained business software systems for inventory, sales tracking, and operational workflows, replacing manual processes with structured digital tools
• Developed a custom POS application that replaced pen-and-paper order logging with digital inventory, data capture, and thermal printing

Built and currently maintain a production-style analytics and operations system for a multi-platform food business, used for weekly business decisions:

• Bronze → Silver → Gold ETL architecture in Python
• Multi-source order ingestion and normalization
• Net revenue, COGS, and margin modeling with reconciliation and issue tracking
• Power BI model focused on decision KPIs for business owners
• Backend data flows and operational tooling to support reliable reporting

• Golfia — React Native + TypeScript golf scorecard app with analytics and SQLite modeling
• Business operations tools — inventory, reporting, and workflow systems built for real commercial use cases
• Applied econometrics notebooks — reproducible analysis with interpretation-first workflows

Clean data models that survive real operations. Metrics definitions that do not lie. Software that solves actual business problems.