Associate Consultant, Strategy& (formerly Booz and Company) — Q-Commerce web scraping for 120k+ SKUs
Built a web-scraping pipeline to parse and collect large-scale e-commerce product information for model/analytics needs. The collected SKU data was used to support pricing competitiveness analysis and performance reporting. No explicit human annotation workflow was described, but the work functionally constituted dataset creation for downstream AI/analytics. • Implemented scraper logic to extract structured fields across 120k+ SKUs • Collected product/SKU data to enable competitive pricing comparisons • Produced business outputs including $40K revenue and improved ROAS by 9% within a month • Supported Q-commerce channel analytics through automated data collection