Nikhil
Top Scholar@ElevateIQ University
No-code Developer
Top Scholar
Brand Designer
Dog Lover
Score = 8.8/10
Driven and impact-oriented Product Intern with hands-on experience contributing to the development and improvement of digital products. Experienced in supporting the product lifecycle—from problem discovery and requirement definition to execution and performance tracking. Skilled in collaborating with cross-functional teams including engineering, design, and business stakeholders to deliver user-centric solutions. Actively contributes to defining use cases, refining requirements, and aligning execution with product goals. Passionate about leveraging data, user insights, and experimentation to drive product growth, engagement, and retention while continuously strengthening product thinking and execution skills.
Skills
Product Skills
Product Strategy, Requirement Gathering, PRD Writing, User Research, User Journey Mapping, Feature Prioritization, A/B Testing, KPI Definition, Roadmapping
AI & Tech Skills
Figma (Wireframing), Notion (Documentation), Jira (Agile & Sprint Management), API Understanding, Postman, AI Tools (Prompting & Research)
Projects
Case Studies
Case Study 1
Increase Repeat Orders on Zepto
Problem
A large percentage of users place their first order but do not return, leading to low retention and LTV.
Root Cause Analysis
Lack of habit formation for grocery purchases
Users forget to reorder essentials
No strong personalization in recommendations
User Insights
“I only order when I urgently need something”
“I forget to reorder regular items like milk or bread”
Solution
1. Smart Reorder System
Auto-suggest frequently bought items
“Reorder in 10 seconds” feature
2. Subscription Model
Daily/weekly subscription for essentials (milk, fruits)
3. Personalized Nudges
Push notifications based on past order timing
“You might be running out of…” alerts
Impact
Increased repeat purchase rate by +25%
Improved orders per user per month
Strengthened user retention
Key Metrics
Repeat Purchase Rate, Orders/User/Month, Retention Rate, LTV
Case Study 2
Improve Engagement in CRED Rewards
Problem
Low engagement in the Rewards section, despite high traffic on the app.
Root Cause Analysis
Users don’t understand the value of rewards
Rewards feel static and non-exciting
Low visibility of rewards section
User Insights
“I don’t know what I get from rewards”
“It doesn’t feel exciting or useful”
Solution
1. Gamification Layer
Introduced spin wheel, daily streaks, and surprise rewards
Created habit loops through daily engagement
2. Personalization
Recommended rewards based on spending patterns
Highlighted high-value deals for each user
3. Improved Visibility
Rewards section surfaced on homepage
Nudges during bill payment journey
Impact
Increased rewards engagement by +40%
Improved DAU/MAU ratio
Increased reward redemption rate
Key Metrics
Feature Engagement Rate, DAU/MAU, Reward Redemption Rate
Stack
About Me
Results-driven Product Intern with hands-on experience contributing to the development and optimization of digital products. Gained exposure across the product lifecycle—from identifying user problems and supporting solution development to tracking performance through data.
Enjoys working at the intersection of user needs, business goals, and technology, collaborating with cross-functional teams to deliver meaningful features. Brings a strong interest in solving growth and engagement challenges using data-driven insights and experimentation.
Focused on execution and continuous learning, with the goal of building scalable products that create real user value while driving measurable business outcomes.
1) Completed Certified AI Product Manager Program at ElevateIQ University
2) Gained hands-on experience working as an Associate Product Manager in a real-world product environment
3) Worked on product features across growth, engagement, and retention use cases
4) Conducted user research, funnel analysis, and root cause analysis to identify product opportunities
5) Built PRDs, user flows, and collaborated with engineering & design teams for feature execution
6) Practiced data-driven decision making using SQL, Excel, and product analytics tools (Mixpanel/GA)
7) Designed and analyzed A/B experiments to improve product performance Worked in an Agile environment (Jira) with sprint planning and delivery cycles
8) Focused on improving key metrics such as conversion rate, retention, and feature adoption