At WIPRO, I designed Python automation for multi-file and multi-sheet operational datasets, reducing manual validation effort by 70–80%. I also built QC frameworks with cross-sheet and cross-file dependency checks that reduced data errors to near zero.
I translate business and engineering problems into data requirements, analytical logic, validation rules, and decision-support outputs. For Equipment Master and FLoc data, I led technical alignment on hierarchy indicators and relationships between P&IDs, equipment tags, and SAP master data.
I’ve contributed to AI-enabled master-data cleansing and industrial MDM work, including solution viewpoints and proposal content on taxonomy, governance, and enrichment. I also presented a seven-stage cleansing framework, from profiling and standardisation through QC, loading, and reconciliation.
