Turning marketplace data into measurable revenue.

Owned listing performance and reporting infrastructure across Aurafloral's Amazon and Flipkart storefronts. Replaced manual, spreadsheet-heavy reporting with automated Python pipelines and a live Power BI layer covering sales, pricing, and inventory health.

• Audited and rewrote 100+ product listings — titles, bullet points, backend keywords, and images — to improve search rank and conversion on both marketplaces.
• Built Python automation that cut weekly reporting time from ~20 hours to ~8 hours, a 55% reduction in manual effort.
• Designed Power BI dashboards tracking sales velocity, pricing competitiveness, and stock-outs, saving ~5 hours/week previously spent on manual data cleaning.
• Ran multi-dimensional analysis (category, price band, seasonality) that informed pricing changes, contributing to an 8% overall revenue improvement.

Worked across a 300+ SKU Amazon catalog, combining keyword research tools with SQL-driven analysis to find where margin and ranking were being left on the table.

• Optimised 300+ Amazon listings using Helium 10 and Keepa for keyword and pricing-history research.
• Built Pandas pipelines that cut manual catalog-management effort by 40%.
• Ran SQL ad-hoc analysis to identify high-margin products and underperforming ASINs, feeding directly into pricing strategy.
• Outcomes: a 15% revenue increase and a 15% ROI improvement on optimised listings.

A recurring deliverable across both Aurafloral and RB2F: a single source of truth for marketplace health — sales, pricing, inventory, and listing performance — refreshed automatically instead of stitched together by hand each week.

• Revenue and unit sales by SKU, category, and marketplace (Amazon vs Flipkart), with week-over-week trend lines.
• Pricing competitiveness against tracked competitor ASINs, flagging underpriced or overpriced listings.
• Inventory health: stock-out risk, days-of-cover, and reorder alerts pulled from seller-central exports.
• Listing quality score combining CTR, conversion rate, and review velocity to prioritise optimisation work.