Experience

Owned end-to-end development of an e-commerce financial decision system, translating business requirements into 9 scoring models, validating them through 119 automated tests, and collaborating across business, backend, data, and database layers to design a multi-source data model connecting Shopify, payment, shipping, returns, and cost data into actionable scoring and dashboard outputs.

Currently integrating and refining the scoring pipeline, working across multiple business data sources to ensure consistent inputs, transformations, and reliable decision outputs.

Building and validating the underlying data model and data flows, with ongoing work around scoring logic, relationships between data sources, and edge-case handling.

Working closely with business, backend, data, and database teams to translate business requirements into technical requirements, scoring logic, and implementable system behaviour.

Continuously testing, debugging, and refining the decision models, expanding validation coverage and handling edge cases as the system evolves.

Automated the Excel reporting pipeline end-to-end in Python, reducing dashboard generation time from 3+ hours to under 5 minutes for recurring reports.

Performed SQL-based cohort analysis on transactional data, identifying a 15% decline in repeat purchases over a 90-day window and presenting the findings to support retention decisions.

Maintained recurring business dashboards and reporting workflows, ensuring data accuracy and consistency for operational decision-making.