Akash Ramanathan

At Amazon Selection Discovery, I lead catalog-data programs that turn operational bottlenecks into scalable systems. I built dashboards, automated reporting, and ingestion solutions that enabled 507K brand launches, generated 500M+ product catalog entries, and helped scale monthly data crawls from 10K to 100K.

I've partnered closely with Engineering, Product, Business, and Applied Science teams to improve pipeline reliability, data quality, and decision-making. My work has reduced pipeline failures from 16% to 10%, cut image-quality defects by 50%, corrected 220K mismatched product records, and reduced manual enrichment effort by 66% while raising data coverage from 63% to 94%.

Earlier, I led UAT and rollout for a machine-learning-assisted website configuration tool, trained 50+ associates, and built compliance and risk-management modules for Fixnix's SaaS GRC platform. I bring program execution, SQL, Python, process optimization, and KPI design to complex e-commerce and product-data challenges.