At Walmart Global Tech, I analyze and validate product catalog records across Global Item Mapper and Mismatch Detection workflows. This work improved product data consistency by 30% and data quality by 98%.
I use Python and Excel to clean and reconcile catalog data, reducing manual validation effort. I also developed Power BI dashboards to track validation results, mismatch trends, and data-quality KPIs.
At Unified Mentor Pvt Ltd, I performed exploratory analysis on user engagement datasets to uncover retention drivers, increasing user retention by 20%. I also built and validated Python models that forecast FIFA World Cup match outcomes with 90% accuracy.
Previously, as a Data Quality Executive at UMA Constructions, I cleaned and validated construction records and standardized procurement and material usage data. My projects include pharmaceutical inventory analysis and solar power generation optimization, with Power BI dashboards for operational KPIs.

