Sneha
Top Scholar@ElevateIQ University
No-code Developer
Top Scholar
Brand Designer
Dog Lover
Score = 8.6/10
Product Intern with a background in engineering and business operations, building strong capabilities in AI Product Management. Passionate about solving real-world problems using data, user empathy, and scalable AI-driven solutions. Experienced in collaborating with cross-functional teams, contributing to product strategy discussions, and supporting execution through analytics and experimentation. Applies structured thinking to align user needs with business outcomes. Focused on developing impactful, data-driven products while continuously strengthening expertise in AI-led product development and decision-making.
Skills
Product Skills
Product Strategy, Roadmapping, User Research, A/B Testing, KPI Definition
AI & Tech Skills
Prompt Engineering, AI Product Design, SQL, Python, APIs & Integrations
Projects
Case Studies
Case Study 1
AI Interview Preparation Platform
Problem: Candidates lack structured interview prep
Solution: AI-driven mock interview platform
Features:
AI interviewer
Feedback scoring
Personalized roadmap
Metrics:
User engagement rate
Mock interview completion rate
Case Study 2
Netflix Engagement Optimization
Problem: Drop in user engagement
Approach: Funnel analysis
Key Insights:
Users drop after browsing
Weak recommendation relevance
Solutions:
Improved recommendation engine
Personalized homepage
Stack
About Me
Product Intern with a background in engineering and business operations, building strong capabilities in AI Product Management. Passionate about solving real-world problems using data, user empathy, and scalable AI-driven solutions.
1) Top Scholar — ElevateIQ University
Completed an intensive 3-month training covering product thinking, user research, metrics, and execution. Built end-to-end product case studies including problem definition, user personas, and solution design. Worked on real-world scenarios inspired by platforms like food delivery and OTT apps. Learned to define success metrics, KPIs, and perform basic root cause analysis
2) Product Internship Experience
Contributed to live product discussions and feature improvement ideas Created structured PRDs (Product Requirement Documents) for selected features. Suggested user engagement and retention improvements based on problem analysis. Collaborated with peers and mentors to refine solutions and presentations
3) Projects & Practical Exposure
Developed multiple product case studies focusing on user pain points and scalable solutions. Practiced breaking down ambiguous problems into clear product approaches. Presented solutions and received feedback from mentors for continuous improvement