
Ryan Corcoran contributed to DEFRA’s trade-exportscore-plp repository, focusing on enhancing data parsing, validation, and regulatory compliance for packing list processing. He developed and refactored JavaScript and Node.js modules to support new models, such as the Gousto Packing Lists, and improved reliability through comprehensive unit testing and regex-based validation. Ryan addressed data quality issues by refining header handling, establishment number checks, and totals-row logic, while also updating prohibited item lists to align with evolving regulations. His work emphasized maintainability and traceability, leveraging JSON manipulation and robust version control to ensure accurate, scalable data workflows and streamlined compliance reporting.

February 2026 monthly summary for DEFRA/trade-exportscore-plp focusing on regulatory compliance data updates and release management.
February 2026 monthly summary for DEFRA/trade-exportscore-plp focusing on regulatory compliance data updates and release management.
January 2026: Focused on data quality and regulatory compliance for DEFRA/trade-exportscore-plp. Delivered a critical bug fix: Ineligible Items List updated to reflect changes in commodity codes and treatment types, ensuring eligibility checks align with current regulations. This change reduces misclassifications in downstream scoring and strengthens compliance reporting.
January 2026: Focused on data quality and regulatory compliance for DEFRA/trade-exportscore-plp. Delivered a critical bug fix: Ineligible Items List updated to reflect changes in commodity codes and treatment types, ensuring eligibility checks align with current regulations. This change reduces misclassifications in downstream scoring and strengthens compliance reporting.
December 2025 monthly summary focusing on key business outcomes and technical delivery across the DEFRA/trade-exportscore-plp repo. Delivered a robust Gousto Packing Lists Model with validation for establishment numbers and header formats, plus parsing logic for diverse packing list structures and comprehensive unit tests, enabling reliable supplier data ingestion. Improved data parsing reliability with Regex and validation refinements for blanket NIRMS, establishment numbers, and country of origin, supported by updated tests. Fixed data quality gaps in B&M data with totals-row validation, keyword-based row identification, and enforced field rules. Deprecated legacy Tesco Model 1 and ASDA Model 2 matchers/parsers to prevent deprecated formats, ensuring clearer backward-compatibility signals. Updated release versions to 6.28.3 and 6.29.2 to reflect the changes. Expected business impact includes higher data accuracy, reduced manual validation, faster downstream processing, and clearer versioning signals for integrations.
December 2025 monthly summary focusing on key business outcomes and technical delivery across the DEFRA/trade-exportscore-plp repo. Delivered a robust Gousto Packing Lists Model with validation for establishment numbers and header formats, plus parsing logic for diverse packing list structures and comprehensive unit tests, enabling reliable supplier data ingestion. Improved data parsing reliability with Regex and validation refinements for blanket NIRMS, establishment numbers, and country of origin, supported by updated tests. Fixed data quality gaps in B&M data with totals-row validation, keyword-based row identification, and enforced field rules. Deprecated legacy Tesco Model 1 and ASDA Model 2 matchers/parsers to prevent deprecated formats, ensuring clearer backward-compatibility signals. Updated release versions to 6.28.3 and 6.29.2 to reflect the changes. Expected business impact includes higher data accuracy, reduced manual validation, faster downstream processing, and clearer versioning signals for integrations.
November 2025 — DEFRA/trade-exportscore-plp: Delivered CDS Model 2 Parser enhancements and targeted refactors that improve data integrity, test coverage, and maintainability for packing-list processing; enabled robust handling of headers, validations, and establishment-number rules, reducing manual validation effort and future regression risk. Demonstrated strong focus on business value through improved data quality and scalable code.
November 2025 — DEFRA/trade-exportscore-plp: Delivered CDS Model 2 Parser enhancements and targeted refactors that improve data integrity, test coverage, and maintainability for packing-list processing; enabled robust handling of headers, validations, and establishment-number rules, reducing manual validation effort and future regression risk. Demonstrated strong focus on business value through improved data quality and scalable code.
Overview of all repositories you've contributed to across your timeline