Bengaluru, Karnataka, India
Product: Served as product manager of a new product line - Recommend collections of home-décor items tailored to user’s style and room preferences • Conducted market research and analyzed customer’s shopping patterns on décor items; identified their needs and market opportunity to lift the sales of home category items by 20% Led a team of engineers, a product designer, and subject matter experts, to build a working prototype of the idea • Presented the demo in the Business Pillar All-Hands Meet Q4 2020-21, and selected as one of the top two new product ideas in 2020 • Facilitated daily stand-up meetings, sprint planning, review, and retrospective meetings to ensure cross-functional alignment, project management, and risk mitigation • Initiated periodic demos and feedback sessions with stakeholders to identify any requirement changes and ensure alignment on product goals Data Science: • Monitored and identified gaps in the validation process of attributes; devised a strategy to add an additional step, which improved model performance by 10% on an average • Analyzed and suggested grouping of brand name variants to improve catalog discovery; normalized more than 2.5M+ products • Presented the Auto-ML product and its value proposition across teams and in Tech Huddles; resulting in platform adoption by 5 different teams
• Strong understanding of ML algorithms and data science techniques, allowing me to keep up the trend and make more informed product decisions • Familiarity with software development processes and agile development methodologies, enabling effective communication with technical teams • Developed and deployed 50+ ML models that extract attribute values from item description, collectively impacting 100M+ items and improved avg sales of certain categories by 15% • Designed and led a 4-member team of engineers to implement Auto-ML; number of model deployments increased 4X times in the same time frame • Implemented various NLP, CV, deep learning techniques to improve catalog, in turn improving the upstream systems, primarily search by 6%
• Worked on the company’s flagship product - Amelia, a conversational AI agent, that automates human mundane tasks • Analyzed the query patterns from our customers on a daily basis, developed a system that answers short answer type queries with 98% precision using Knowledge Graphs, improving the overall response accuracy of Amelia by 6%