
Neha
AI Product Management with a Computer Science background
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About
AI Product Management Fellow with a Computer Science background, experienced in translating machine-learning insights into market-ready product strategies. Delivered AI-native product case studies, authored PRDs and roadmaps using RICE and MoSCoW frameworks, and scoped MVPs that moved ambiguous problems to measurable launches. Seeking to apply data-driven product execution to build consumer-scale, story-driven AI products.
Experience
AI PM Fellow at Product Space (2026-06 – Present)
- Built and presented AI-native product case studies, applying RICE, MoSCoW, and North Star Metric to turn vague problems into prioritized, shippable roadmaps, which guided the team's next development cycle
- Wrote and defended PRDs and interactive prototypes, running structured peer-critique cycles and iterating scope and prioritization based on live feedback, which accelerated approval of feature concepts
- Contributed to strategy documents that defined product OKRs and go-to-market roadmaps, supporting the product lifecycle from discovery through launch, which aligned cross-functional teams on shared goals
- Selected for a cohort-based AI Product Management Fellowship covering AI strategy, roadmapping, user research, and go-to-market execution, which expanded my expertise in statistical analysis and competitive analysis for product decisions
Research Analyst at Bootup360 (2025-01 – 2025-03)
- Synthesized MSME sector data across 50+ businesses into 3 stakeholder-ready strategic reports that directly shaped client digital-transformation decisions.
- Designed interview guides and online surveys in Typeform to capture operational pain points, then processed the qualitative data with n8n workflows and delivered prioritized, cross-functional recommendations that informed the product roadmap
Outreach Coordinator at GDSC MSCW (2023-08 – 2024-10)
- Led outreach across 10+ colleges and coordinated 15+ external speakers, expanding GDSC's network and driving event campaigns that increased attendance.
- Managed end-to-end event logistics and communication calendars, aligning student volunteers and external partners to hit tight workshop timelines.
Education
B.Sc. (Hons.) in Computer Science – Mata Sundri College for Women, University of Delhi (2022 – 2026-06)



