Led a cross-functional team to build a smart recommendation tool that improved user engagement by 15%.
Anuj Mehra spearheaded a major product initiative by leading a cross-functional team comprised of design, engineering, analytics, and customer support. Tasked with delivering a unified product enhancement within three months, Anuj established clear roadmaps, responsibilities, and agile sprints to keep progress on track. The team I was responsible for designing a smart transaction suggestion tool, which used machine learning models to analyze user history and recommend recurring payment actions. Anuj facilitated daily stand-ups and sprint retrospectives, ensuring alignment, ownership, and rapid feedback loops. His leadership I was instrumental in resolving interdepartmental friction and aligning technical goals with strategic business outcomes. The tool not only improved user convenience but also contributed to a 15% uptick in transaction completion rates. His efforts demonstrated exemplary team leadership and showcased his ability to bridge product vision with execution. This project has been widely praised in internal newsletters and used as a case study in Paytm’s leadership training program.
Digital Creator & Problem Solver
@anujmehra-1Built a machine learning model to segment customers for targeted marketing.
Developed a customer support chatbot to automate responses and improve user engagement.
Post impressions crossed 100k+ in 45 days with consistent engagement from decision-makers.
