Adyasha Nayak

4+ years of work experience

Aug 20263 mosPresent

Enhanced PDP content and attributes across 8,000+ products, improving clarity and conversion by 12%. Structured 200+ product categories and types, boosting discoverability and search relevance. Managed 1,500+ SKUs per month using internal CMS with 98% content accuracy. Collaborated with 6 category teams to align content with sales and merchandising goals. Led training of AI-based PDP automation tool (Attribot) processing 5,000+ product image sets weekly. Built AI prompts and validation logic, reducing manual data entry by 85% and improving attribute accuracy by 30%.

Apr 20251 yr 7 mosPresent

Bangalore Urban, Karnataka, India

Dec 20213 yrs 6 mosMay 2025

Bengaluru, Karnataka, India

Dec 20213 yrs 4 mosMar 2025

Created and optimized 2,200+ PDPs per month for web and mobile platforms across multiple categories. Identified and marketed key USPs for 500+ apparel products, improving product sell-through and customer engagement. Led PDP revamp and site integrity projects, improving content consistency across 10K+ live listings. Developed diverse content including descriptions and style notes for apparel, accessories, cosmetics, and sports gear and more. Conducted quality audits with 98%+ accuracy, reducing content errors by 40% before go-live. Improved catalog processes, increasing publishing efficiency, and trained multiple vendors and 5 new joiners on content and QA standards. Collaborated with 8+ Category Managers to meet brand-level content requirements.

- NowPresent

Transitioned from Pincode to PhonePe's merchant ERP catalog team, owning AI-driven taxonomy, schema and Unit ID enrichment workflows with human audit controls. Built taxonomy from scratch for Staples, Beauty & Personal Care (BPC) and Indulgence, covering 2,092 product types, 192 schemas and 191 unique attributes. Authored product-type schema definitions engineered for structured AI outputs across automated merchant catalog enrichment workflows. Reported AI output audit gaps, defined validation logic and guardrails, and ensured exact attribute extraction across schema definitions. Designed rule-based, independent and dependent attribute logic to standardize enrichment quality and catalog data integrity. Managed PDP content, product attributes, taxonomy and catalog data quality for 8,000+ SKUs across fashion and hyperlocal commerce, improving content clarity and conversion by 12%.