A collection of applied engineering automation work: Python-based workflows that connect data extraction, processing and structured outputs, reducing repetitive manual work across engineering, audit and operational processes.
Automating high-volume SAP and transaction data processing for an audit workflow. An automation workflow designed to reduce repetitive data-processing activities, combining SAP report extraction, sheet-of-transactions consolidation and structured Excel processing into a faster and more reliable workflow.
An automated Python-based workflow developed to transform periodic operational reports into a structured historical dataset for audit demand management and Business Intelligence.
Data processing workflow was developed to compare successive reports and identify which records had meaningfully changed. Raw periodic reports become structured historical intelligence, one comparison cycle at a time. This project combines process understanding, automation, data engineering and business intelligence into a single, coherent workflow.
