Results-driven professional dedicated to achieving excellence through innovative strategies and strong work ethics. Core competencies include project management, problem-solving, and effective communication. Aiming to contribute to an organization that values dedication and creativity.
I certify that to the best of my knowledge and belief, this resume correctly describes me, my qualifications, experience & abilities.
Program Managed Prime NOW (Amazon Fresh) cataloging for MORE, Big Bazaar, and SPAR, achieving 95% offline parity across three sellers by collaborating with service partners, catalog specialists, and the category team
Color Refinement Program: Enhanced color refinement coverage from 35.3% to 88.5% on amazon.in by updating the color_map attribute for 60 million products using machine learning models
Launched 3rd Party (3P) exclusive category - Fine Arts, overseeing the complete cataloging process by adapting templates from other categories due to the absence of specific templates for Fine Arts
Owned Categorization Defect Rate (CDR) Program, driving Amazon revenue growth of $63M and seller revenue increase of ₹33M in H2 2018 by correcting node classifications for 9.6 million products
Director Level Award (Jedi Yoda) received in Q3 2015 for resolving Fulfillment Centre expiration issues that impacted 3,000+ seller inbound packages by updating expiry flags using a dual template model hack
Developed a catalog mapping process to align sellers’ products with existing Amazon Standard Identification Numbers (ASINs), successfully launching key sellers such as Saholic, Vijay Sales, Gadget Guru, Croma Retail, and Girias in the Electronics category in three years, the program facilitated 1,304 sellers in mapping their selections to existing ASINs, reducing turnaround time (TAT) to 5.1 days—compared to 12.5 days for other sellers—and decreasing duplicate ASIN creation to 0.1%
Expanded Sports Taxonomy Structure at Amazon.in by launching 23 category nodes for Cricket, Basketball, Running, Cycling, and Boxing
Enhanced Furniture Category refinement coverage by 24.8% through the implementation of wildcard values in Taxonomy queries, optimizing selection for synonymous values in the Catalog
Restructured Health & Personal Care category, resolving escalation by standardizing the node structure for Men's and Women's Intimate Hygiene products
Launched 75 new refinements on Amazon.com across 32 product types as part of the Refinement Expansion Program within one year
Developed a comprehensive structure for the Craft Materials Category on Amazon.in, organizing 184 category nodes that were previously misclassified across various paths
SQL
Python
Microsoft Excel
Learning new skills
Home Theatre & movie enthusiast
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