- Led the development and optimization of category search features, achieving a 12% increase in search accuracy and user satisfaction.- Conducted A/B testing with ML models and ChatGPT, enhancing search relevance and user experience.- Collaborated with engineering, design, and data science teams to implement ML algorithms and NLP techniques, improving search experience.- Developed and monitored KPIs, including a 12% improvement in search accuracy, 4% reduction in parent category suggestions, and an 8% increase in high match coverage.- Improved product and lead mapping by 10% through the use of product specifications and lead requirement consideration, reducing broader parent category mapping.- Applied Agile and Scrum methodologies, overseeing the product development lifecycle to ensure timely delivery of high-quality features.- Led sprint planning and review meetings, facilitating clear communication and alignment between cross-functional teams.

• Owned growth program from inception to successful implementation,resulting in a 35% year-on-year growth and an increase of 5% EBITDA• Coordinated with cross functional teams

• Defined the product vision, development priorities as well as product roll-out strategies• Developed intelligence sharing dashboard s, providing company wide acess to collected data• Helped ideate and eventually launch 6 new products, thereby increasing YoY revenue by 20%• Coordinate cross-functional team to ensure quality and timely product delivery• Identified & implemented right metrics to track product success & apply strategies accordingly• Persona profiling to develop product positioning & messaging strategy for varied target segments • Conducted 400+ customer interviews for product feedback, helped collate and implement the suggested improvements resulting in a 90% customer satisfaction