Umesh
Top Scholar@ElevateIQ University
No-code Developer
Top Scholar
Brand Designer
Dog Lover
Score = 8.8/10
Motivated and detail-oriented Product Intern with a strong focus on building user-centric digital products. Passionate about understanding user behavior, solving real-world problems, and contributing to impactful product solutions. Built a solid foundation in product thinking, user research, and data-driven decision-making through structured learning and hands-on projects. Actively contributes to problem definition, solution ideation, and improving user experience in a fast-paced product environment. Eager to learn, execute, and grow while building meaningful products that deliver real value to users and the business.
Skills
Product Skills
Product Thinking, User Research, User Journey Mapping, Problem Solving, Feature Prioritization, KPI Understanding, PRD Writing
AI & Tech Skills
Excel (Data Analysis), SQL, Power BI, Figma (Wireframing), Notion (Documentation), Prompt Engineering
Projects
Case Studies
Case Study 1
Improve Order Completion Rate (Food Delivery App)
Problem
A significant number of users add items to cart but drop off before completing the order.
Root Cause Analysis
High delivery charges shown late in checkout
Limited payment options
Payment failures with no retry flow
User Insights
“Final price feels too high at checkout”
“Payment failed and I didn’t try again”
Solution
Display total price (including delivery) earlier in the journey
Add multiple payment options (UPI, Wallets, COD)
Introduce smart retry for failed payments
Enable one-click reorder for frequent users
Expected Impact
Increase order completion rate by +15%
Reduce cart abandonment significantly
Key Metrics
Checkout Conversion Rate, Cart Abandonment Rate, Payment Success Rate
Case Study 2
Improve Content Discovery (OTT Platform)
Problem
Users spend too much time searching and struggle to find relevant content quickly.
Root Cause Analysis
Too many content options (decision fatigue)
Weak personalization for new users
Lack of clear content categorization
User Insights
“I don’t know what to watch”
“Too many options, confusing experience”
Solution
Introduce personalized rows like ‘Because You Watched’
Add quick genre filters on homepage
Enable preview-on-hover for quick decision making
Show Top Picks based on trending + user behavior
Expected Impact
Increase engagement and session duration
Improve user satisfaction
Key Metrics
Average Watch Time, Session Duration, Content Click Rate
Stack
About Me
Enthusiastic and curious Product Intern with a strong interest in building impactful digital products. Enjoys understanding user problems, analyzing patterns, and translating insights into simple, effective solutions.
Developed a solid foundation in product thinking, user research, and data-driven decision-making through continuous learning and hands-on project experience. Particularly interested in how products scale, enhance user experience, and drive engagement.
Proactive in collaborating across teams, contributing to problem-solving, and supporting product development efforts while continuously growing as a product professional.
1) Completed Certified AI Product Manager Program at ElevateIQ University
2) Worked on real-world product projects across Food Delivery, E-commerce, and OTT platforms
3) Gained hands-on experience in product thinking, user journey mapping, and KPI definition
4) Built PRDs, basic wireframes, and feature ideas for product improvements
5) Practiced data-driven decision-making using Excel and basic SQL
6) Conducted root cause analysis to identify user problems and propose solutions
7) Participated in a simulated product internship environment with agile workflows (Jira) Developed understanding of user behavior through analytics tools (Google Analytics basics)