At Amazon Development Center, I developed Python scripts and reusable workflows to clean, standardize, and validate product datasets. My audits checked for missing values, duplicates, invalid attributes, and variant-specific inconsistencies, maintaining approximately 99% quality across delivered datasets.
I analyzed product URL datasets to categorize crawl, scraping, and matching failures, then documented findings to support engineering teams’ corrective actions. I also used Python and SQL to reconcile records and investigate discrepancies.
As Catalog Lead at Amazon Development Center, I analyzed catalog data with SQL and contributed to a 20% reduction in data errors. I built SQL and Power BI reports that reduced manual reporting effort by 40+ hours per month, and supported onboarding and activation of 72K+ retailer brands.
