Moe Arkar Zaw

Contributed to automated reporting pipelines and AI copilot-style agents by translating business requirements into functional data solutions and executive dashboards. Implemented rigorous data validation, cleansing, and cross-dataset quality checks to ensure secure, reliable, and audit-ready storage for enterprise datasets. Supported process standardization by maintaining integrated planning scorecards and workflow tracking controls to streamline operational reporting and insight delivery.

Contributed to automated reporting workflows and Copilot-style agents by translating business requirements into functional data solutions and executive dashboards. Implemented data integrity practices with rigorous validation, cleaning, and quality checks across enterprise datasets to ensure auditable, reliable storage-ready data. Maintained integrated planning scorecards and workflow tracking controls to streamline operational reporting and improve insight delivery. Helped support workflow automation and application support efforts used by stakeholders for ongoing performance reporting.

Explored and evaluated Large Language Models (LLMs) and AI-driven features for internal workflows and product analytics. Collected, cleaned, and analyzed high-volume datasets to produce structured technical reports and presentation materials for cross-functional teams. Benchmarked model behavior and practical AI capabilities to inform how AI assistants and analytics features could be integrated into existing product and operations workflows.