GOPIKA SUSHAMAKUMARI

Processed approximately 300,000 ERP/Maconomy transaction records using Python and ~26 auditable classification rules, applying validation, structured data preparation, and exception-review controls for finance workflows. Built invoice/PDF extraction prototypes using Python, Flask REST APIs, and LLM-assisted JSON outputs with confidence checks and human review to strengthen document accuracy and traceability.

Developed, tested, maintained 8+ production Power Platform applications and ~100 complex Power Automate workflows supporting 500+ users across 30+ countries. Built secure Power Apps and automated approval/exception logic to reduce repetitive manual effort by up to 70%, and modernised a multi-country evidence process using SharePoint structure, Teams channels, and permission-controlled access. Owned SQL-backed Power BI reporting with data models and DAX measures for incident and operational dashboards, and delivered a UK incident reporting platform with 20+ automation flows, classification rules, notifications, and near-real-time visibility. Improved recurring data refresh performance from 2.5 hours to 35 minutes through automation and data handling optimisation. Applied governance across SQL, SharePoint, Dataverse, and Microsoft 365 using Entra ID group provisioning/revocation, RBAC, DLP, and documented handling of controlled records. Led stakeholder meetings, supported UAT/regression