{"canonicalUrl":"https://humetric.net/p/profile-37d7d83088ca4252a8c5b624a936f671","profileVersion":"00aedf9f-711d-4a23-8666-52bf4bd22420","lastUpdated":"2026-08-04T15:12:44.699437+00:00","profile":{"display_name":"Anonymous profile","last_updated":"2026-08-04","slug":"profile-803567d4e4094fd5","headline":"AI Product Management Fellow","summary":"A Computer Science graduate and AI Product Management Fellow with expertise in machine learning, data analysis, and product execution. 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Summary / 簡介: A Computer Science graduate and AI Product Management Fellow with expertise in machine learning, data analysis, and product execution. Skilled in market sizing, PRD development, and prioritization frameworks to transform ambiguous problems into shippable, measurable product solutions.","fieldKeys":["summary"]},{"id":"skills:0","type":"skills","ordinal":0,"locale":"zh","text":"AI Product Management Fellow. Skills / 技能: A/B Testing, Agile, Cohort Analysis, Competitive Analysis, Figma, Funnel & Retention Analysis, Git, GitHub, Growth Loops, MySQL, n8n, North Star Metric, NumPy, Pandas, Persona Development, PRD Writing, Predictive Modeling, Python, Roadmap Prioritization, Scikit-learn, Scrum, SQL, Statistical Analysis, Streamlit, User Interviews, User Story Writing, Wireframing","fieldKeys":["skills"]},{"id":"discovery:0","type":"discovery","ordinal":0,"locale":"zh","text":"AI Product Management Fellow. Role / 職稱: AI Product Management Fellow. Experience / 年資: 1 years experience. Expertise / 專長: A/B Testing, Agile, Cohort Analysis, Competitive Analysis, Figma, Funnel & Retention Analysis, Git, GitHub, Growth Loops, MySQL, n8n, North Star Metric","fieldKeys":["headline","years_experience","skills"]},{"id":"experience:0","type":"experience","ordinal":0,"locale":"zh","text":"AI Product Management Fellow. Experience / 經歷: AI PM Fellow at Product Space. Jun 2026 to present. Developing end-to-end product management skills across AI strategy, roadmapping, and user research through intensive case study application.","fieldKeys":["experiences"]},{"id":"experience:1","type":"experience","ordinal":1,"locale":"zh","text":"AI Product Management Fellow. Experience / 經歷: Research Analyst at Bootup360. Jan 2025 to Mar 2025. Synthesized MSME sector data into strategic reports and designed frameworks to translate operational pain points into prioritized recommendations.","fieldKeys":["experiences"]},{"id":"experience:2","type":"experience","ordinal":2,"locale":"zh","text":"AI Product Management Fellow. Experience / 經歷: Outreach Coordinator at GDSC MSCW. Aug 2023 to Oct 2024. Led outreach across multiple colleges and managed event logistics to increase cross-campus engagement and workshop attendance.","fieldKeys":["experiences"]},{"id":"education:0","type":"education","ordinal":0,"locale":"zh","text":"AI Product Management Fellow. Education / 學歷: B.Sc. (Hons.). Computer Science. Mata Sundri College for Women, University of Delhi","fieldKeys":["educations"]},{"id":"project:0","type":"project","ordinal":0,"locale":"zh","text":"AI Product Management Fellow. Project / 專案: Aurum Kitchen. Conducted end-to-end product research including market sizing, competitive teardowns, and MVP scoping using MoSCoW prioritization.","fieldKeys":["projects"]},{"id":"project:1","type":"project","ordinal":1,"locale":"zh","text":"AI Product Management Fellow. Project / 專案: Agentic AI Email Outreach Automation. Built with / 使用技術: n8n. Designed an n8n-based workflow to automate personalized job-outreach emails, reducing manual research time by approximately 70%.","fieldKeys":["projects"]},{"id":"project:2","type":"project","ordinal":2,"locale":"zh","text":"AI Product Management Fellow. Project / 專案: Coursera Peer Mentorship Feature. Built with / 使用技術: Figma. Developed a PRD and Figma prototype for a just-in-time mentorship feature to reduce learner churn and forum latency.","fieldKeys":["projects"]},{"id":"project:3","type":"project","ordinal":3,"locale":"zh","text":"AI Product Management Fellow. Project / 專案: UIDAI Aadhaar Enrollment Analytics. Built with / 使用技術: Python, Pandas, Scikit-learn. Analyzed 2.4M records using K-Means clustering and Random Forest to forecast demand and identify update intensity gaps.","fieldKeys":["projects"]},{"id":"discovery:1","type":"discovery","ordinal":1,"locale":"zh","text":"AI Product Management Fellow. Approved discovery query / 核准搜尋語句: AI Product Management Fellow","fieldKeys":["headline","desired_queries"]},{"id":"discovery:2","type":"discovery","ordinal":2,"locale":"zh","text":"AI Product Management Fellow. Approved discovery query / 核准搜尋語句: PRD Writing User Story Writing Roadmap Prioritization","fieldKeys":["headline","desired_queries"]}]}