Kavya
Top Scholar@ElevateIQ University
No-code Developer
Top Scholar
Brand Designer
Dog Lover
Score = 9.1/10
Analytical and detail-oriented Product Intern with 1 year of experience as a Business Analyst, bringing a strong foundation in requirements gathering, data analysis, and translating business needs into actionable product insights. Experienced in collaborating with stakeholders to understand problem spaces, improve processes, and support solution development. Applies structured thinking and data-driven approaches to contribute to product decisions and user-centric outcomes. Passionate about building scalable digital products that solve real-world problems by combining analytical rigor with strong product thinking.
Skills
Product Skills
Product Thinking, Requirement Gathering, User Research, User Journey Mapping, PRD Writing (Basics), Feature Prioritization, KPI Definition, Stakeholder Management
AI & Tech Skills
Excel, SQL, Data Analysis, Power BI, Dashboarding, Reporting & Insights
Projects
Case Studies
Case Study 1
Improve Loan Application Completion Rate (Fintech)
Problem
A fintech platform is facing high drop-offs (40%) during the loan application process, leading to low approval conversions.
Root Cause Analysis
Lengthy and complex application forms
No clarity on eligibility before starting
Lack of progress visibility during application
User Insights
“I don’t know if I’m eligible, so I don’t want to waste time”
“The process is too long and confusing”
Solution
Introduced pre-application eligibility checker
Implemented step-by-step progressive form flow
Added progress tracker and save & resume option
Simplified language and reduced redundant fields
Impact
Reduced drop-off from 40% → 25%
Improved application completion rate significantly
Key Metrics
Application Completion Rate, Drop-off Rate, Approval Rate
Case Study 2
Reduce Cart Abandonment (E-commerce Platform)
Problem
High cart abandonment rate (~65%) impacting overall revenue.
Root Cause Analysis
Unexpected additional costs at checkout
Complicated multi-step checkout process
Mandatory account creation
User Insights
“Final price is higher than expected”
“Checkout takes too long”
Solution
Displayed total cost (including delivery & taxes) upfront
Simplified checkout into single-page flow
Enabled guest checkout option
Added multiple payment options
Impact
Reduced cart abandonment by ~20%
Improved checkout conversion rate
Key Metrics
Cart Abandonment Rate, Checkout Conversion Rate, Revenue Impact
Stack
About Me
Analytical and detail-oriented Product Intern with 1 year of experience as a Business Analyst, bringing a strong foundation in understanding business requirements, analyzing data, and collaborating with stakeholders.
Experienced in breaking down complex problems, identifying patterns, and translating insights into structured, actionable product solutions. Applies analytical thinking to support decision-making and improve user experience while aligning with business goals.
Passionate about building data-driven, user-centric products and contributing effectively in a dynamic product environment by combining strong analytical skills with practical product thinking.
1) Completed Certified AI Product Manager Program at ElevateIQ University
2) Worked on real-world product projects across Fintech, E-commerce, and Banking domains
3) Gained hands-on experience in requirement gathering, user research, and KPI definition
4) Built PRDs, user flows, and feature documentation for product improvements
5) Practiced data-driven decision-making using Excel, SQL, and Power BI
6) Conducted root cause analysis to identify user pain points and business gaps
7) Collaborated in a simulated product internship environment using Agile (Jira) Developed dashboards and insights for business performance tracking
8) Gained exposure to API understanding and basic testing using Postman