Padmini Bevinakatti

I am an analytical data analyst with two years of hands-on experience in category analysis, pricing, assortment planning, and product performance tracking within retail and e-commerce. I build interactive dashboards, automate reports, and apply SQL, Power BI, Python and advanced Excel to deliver actionable insights that improve forecasting, reduce excess inventory, and boost attach rates.

I collaborate across sales, marketing, finance and supply chain to align KPIs and support strategic decision-making, presenting findings to senior and global stakeholders. Notable results include a 20% improvement in sales-forecasting accuracy, a 15% increase in accessory attach rates, and a 12% reduction in excess stock through inventory rationalization.