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Work Background
IndiaMART InterMESH LimitedProduct Manager
Jan. 2024Noida, Uttar Pradesh, India• Scaled ML-based recommendation and ranking system from 20% to 100% paid sellers
• Improved engagement by 8% and reduced negative feedback by 34% through iterative experimentation
• Designed A/B testing roadmap to optimize ranking logic and seller outcomes
• Led 0→1 development of LLM-powered voice automation product
• Defined product vision, roadmap, and success metrics for AI-led seller automation
IndiaMART InterMESH LimitedAssistant Product Manager
Nov. 2022 - Jan. 2024Noida, Uttar Pradesh, India• Owned continuous improvement of an ML-based lead ranking and recommendation system serving paid sellers on the marketplace
• Conducted structured seller discovery through quarterly field visits and feedback sessions to deeply understand pain points in lead quality, conversion inefficiencies, and buyer relevance
• Identified behavioral signals and feedback loops to refine model inputs and improve ranking precision
InfosysAssociate Consultant
May. 2022 - Nov. 2022Bengaluru, Karnataka, India• Identified operational bottlenecks impacting delivery SLAs; implemented workflow optimizations that reduced SLA penalties by 35%
• Led data-driven resource allocation analysis across enterprise programs, improving utilization efficiency by 10%
• Built executive dashboards to provide real-time visibility into program health, risk signals, and capacity planning
• Partnered with delivery heads and program managers to translate business constraints into actionable process improvements
Tinplate CompanyOperations Intern
May. 2021 - Jul. 2021Jamshedpur, Jharkhand, India
IBM India Pvt LtdSecurity Professional
Aug. 2017 - Apr. 2019Bengaluru, Karnataka, India• Investigated enterprise-level security incidents using SIEM tools (IBM QRadar, RSA NetWitness), analyzing high-volume log data to detect anomalies and threat patterns
• Improved incident response efficiency by identifying recurring attack vectors and implementing structured mitigation workflows
• Built operational dashboards to track threat trends, incident aging, and response SLAs
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