Aspiring Product Manager with practical experience launching digital features, conducting user research, and optimizing user journeys, now specializing in AI-powered product innovation. Skilled in Agile methodologies, UI/UX design, data analytics, and cross-functional collaboration, I am adept at converting complex ideas into intuitive, data-driven solutions. Passionate about building intelligent products that solve real user problems and deliver measurable value by leveraging emerging technologies including AI and machine learning.
Product Management Intern
New York, New York, US
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Summary
As a Product Management Intern, Abhinav developed and maintained multi-phase product roadmaps, led cross-functional launch efforts, and optimized user experience for a travel-social engagement platform.
Highlights
Developed and maintained a multi-phase product roadmap for Jetzy's travel-social engagement platform, prioritizing geo-location-based user matching, Travel-GPT integration, and gamified rewards (JetPoints).
Conducted in-depth user research and competitive benchmarking, identifying platform gaps and validating new feature concepts to drive data-informed decisions and increase user engagement.
Defined and tracked critical KPIs, including user acquisition, Daily Active Users (DAU), JetPoints redemption rates, and retention metrics, utilizing Google Analytics and in-app tools to inform strategy.
Led cross-functional product launch efforts, collaborating with marketing, engineering, and UI/UX teams to ensure timely rollouts, targeted promotions, and optimized app store performance for new features and campaigns.
Facilitated Agile ceremonies and sprint planning, ensuring alignment between product objectives and engineering delivery to accelerate feature development.
Iterated product features leveraging feedback loops from user reviews, app analytics, and internal testing, significantly enhancing overall user experience.
Designed and implemented robust user verification and moderation flows, enhancing platform authenticity and user safety.
Product Management Intern
Phoenix, Arizona, US
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Summary
As a Product Management Intern, Abhinav supported AI product feature development by drafting PRDs, conducting market analysis, synthesizing user feedback, and coordinating cross-functional teams.
Highlights
Drafted and maintained clear, concise Product Requirements Documents (PRDs) informed by stakeholder inputs, user research, and market analysis to support AI product feature development.
Conducted comprehensive market and competitor research, identifying key trends, benchmarking features, and uncovering gaps in existing AI solutions.
Collected and synthesized user feedback via surveys and interviews, generating actionable insights to refine product features and enhance usability.
Coordinated cross-functional teams, including engineering, design, and data science, during sprint cycles to ensure alignment and timely feature implementation.
Assisted in tracking key product metrics, including engagement, retention, and model accuracy, to inform data-driven decision-making and roadmap prioritization.
Volunteer
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Summary
As a Volunteer, Abhinav led feature launches, optimized customer journeys, and enhanced UX/UI for various services by applying Agile practices and data-driven product decisions.
Highlights
Led the launch of a new feature for Careem Cab Service, conducting market research, creating user personas, and collaborating with engineering teams to implement scalable MVPs.
Enhanced user experience for Talabat's meal planning by designing intuitive workflows and improving UX based on user testing insights.
Utilized Figma to design wireframes and mockups for WhatsApp-based product improvements, aiming to increase user engagement and retention.
Collaborated with design, development, and QA teams, ensuring timely delivery of high-impact features through Agile best practices.
Conducted interviews and surveys to identify user pain points, driving data-informed product decisions.
Participated actively in Agile ceremonies (daily stand-ups, sprint planning, retrospectives), supporting the product lifecycle from ideation to deployment.
Created product roadmaps using prioritization matrices, ensuring alignment with business goals and customer needs.
Maintained scope documents and requirement backlogs in Notion and Jira, streamlining team workflows and reducing miscommunication.
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M.Sc.
Physics
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B.Sc.
Physics & Mathematics
Awarded By
Next Leap Product Management Fellowship
Recognized for outstanding impact and innovation on the PathPulse graduation project, selected among the top 5 final presentations.
Issued By
Product School
Issued By
Product School
Issued By
Product School
Issued By
ISRO
Issued By
ISRO
AI Product Management, Product Lifecycle Management, Feature Prioritization & Roadmapping, Go-to-Market Planning, Scope Documentation, Product Requirements Documentation (PRD), Product Discovery, Product Experimentation, Project Management, MVP Validation, RICE Scoring, North Star Metric Definition.
Agile & Scrum Methodologies, Jira (Agile Project Management, Issue & Task Tracking), Notion (Product Documentation, Roadmapping, Task Management, Defect & Issue Tracking), Sprint Planning, Agile Ceremonies, Trello (Visual Task & Workflow Management).
Market & User Research, User Journey Mapping, UI/UX Wireframing (Figma), Customer-Centric Innovation, Voice of Customer (VoC), User Feedback Synthesis, Customer Empathy, A/B Testing.
Data Analytics & Visualization, Google Analytics (User Behavior Tracking, Data Insights), Competitive Market Analysis, KPI Tracking, Retention Metrics, Model Accuracy.
Cross-functional Team Collaboration, Stakeholder Engagement & Management, Negotiation & Analytical Skills, Requirement Gathering, Effective Communication, Zoom / Slack (Remote Team Communication & Collaboration), Google Workspace (Docs, Sheets, Slides, Drive), Microsoft Office Suite (Excel, Word, PowerPoint).
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Summary
PathPulse is a mobile-first, data-driven career path guidance platform developed to help early professionals navigate job roles using behavioral insights, validated through extensive user interviews and market analysis.