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Product Manager with less than a year in product discovery, user research, and AI-driven product str
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Product Manager with hands-on experience in product discovery, user research, market analysis, and AI-driven product strategy. Conducted 30+ user interviews/surveys and built end-to-end PM case studies focused on user behavior, engagement, retention, and feature adoption metrics. Skilled in PRD writing, product prioritization, wireframing, and data-driven decision-making.
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AI-Driven Behavioral Spending Insights for Google Pay
May 24, 2026 – Present
Conducted primary research with 30+ Tier 2/3 users to identify behavioral triggers behind impulsive and emotion-driven spending. Performed competitive analysis across Google Pay, Paytm, and PhonePe to identify gaps in behavioral finance features. Defined TAM/SAM/SOM opportunity sizing for 100M+ Indian UPI users within the 18-35 digitally active segment. Designed 3 AI-powered product concepts: contextual spending intelligence, behavioral nudges, and reflective insights. Built a feature prioritization framework evaluating impact, confidence, usability risk, and business value. Defined success metrics: spending awareness lift, user trust score, alert relevance rate, insight-driven actions, and retention.
Increasing Voice Input Adoption on ChatGPT Mobile App
May 24, 2026 – Present
Conducted market and competitor analysis to identify opportunities for improving voice feature adoption among mobile users. Performed user segmentation and behavioral analysis to identify discoverability and usability gaps affecting engagement. Designed low-fidelity wireframes and optimized interaction flows to improve accessibility and reduce feature drop-offs. Prioritized improvements using RICE framework; defined KPIs including activation rate, DAU, engagement, and retention metrics. Developed an end-to-end PRD and MVP roadmap outlining user flows, feature specifications, and success metrics.
AI-Powered Content Creation Landscape in India
May 24, 2026 – Present
Conducted competitive analysis of AI content creation platforms to identify feature gaps and creator pain points. Researched user behavior, adoption trends, and workflow challenges within the Indian creator economy ecosystem. Identified opportunities for AI-driven personalization, workflow automation, and creator productivity enhancement. Synthesized research findings into actionable product recommendations and market opportunity insights.
Cultural Fit Analysis
The candidate demonstrates a strong intrinsic motivation and passion for product management, evidenced by the depth and quality of their personal projects, which directly align with the target role. Their diverse project portfolio (AI, mobile, fintech) indicates adaptability and a broad interest in different product domains. The proactive approach to learning and applying PM frameworks (RICE, PRD, KPIs) suggests a growth mindset and a strong desire to contribute to product development, making them a good cultural fit for an innovative and data-driven product team.
Soft Skills & Operational Fit
The candidate exhibits strong analytical and strategic thinking, evident in their detailed market research, opportunity sizing (TAM/SAM/SOM), and AI-powered product concept design. Their project descriptions highlight a problem-solving mindset, identifying user pain points and usability gaps. While direct collaboration experience in a PM context is limited, their previous roles mention cross-functional collaboration. The depth of their personal projects demonstrates significant initiative, self-learning capabilities, and a data-driven approach, which are crucial for operational fit in a product role.