Priya
Top Scholar@ElevateIQ University
No-code Developer
Top Scholar
Brand Designer
Dog Lover
Score = 9.4/10
Detail-oriented Product Intern with 3 years of experience in the software domain, bringing a strong foundation in system design, user requirements, and technical workflows. Experienced in collaborating with cross-functional teams to support the development of scalable solutions, while contributing to requirement clarity and execution alignment. Applies technical understanding to bridge the gap between product, engineering, and user needs. Passionate about building data-driven, user-centric products that solve real-world problems and deliver meaningful user experiences.
Skills
Product Skills
Product Thinking, User Research, Requirement Gathering, PRD Writing, User Journey Mapping, Feature Prioritization, A/B Testing (Basics), KPI Definition
AI & Tech Skills
SQL (Intermediate), API Understanding, System Design Basics, Data Analysis (Excel), Power BI, Prompt Engineering, Figma (Wireframing)
Projects
Case Studies
Case Study 1
Reduce API Latency for E-commerce Platform
Problem
Product page load time is slow (3.5 seconds) due to high API latency, leading to increased bounce rates and poor user experience.
Root Cause Analysis
Inefficient database queries (no indexing)
Multiple redundant API calls per page load
No caching for frequently accessed data
User Impact
Users experience delays while browsing products
Higher bounce rate on product pages
Reduced conversions due to slow experience
Solution
Implemented caching layer (Redis) for frequently accessed APIs
Optimized database queries with indexing
Reduced API calls using batching techniques
Introduced lazy loading for non-critical data
Impact
Reduced API latency from 3.5s → 1.8s (~48% improvement)
Decreased bounce rate by ~20%
Improved overall page performance
Key Metrics
API Response Time, Page Load Time, Bounce Rate, Conversion Rate
Case Study 2
Improve Payment Success Rate in Checkout Flow
Problem
High payment failure rate (18%) causing revenue loss and poor user trust.
Root Cause Analysis
Payment gateway timeouts
No retry mechanism for failed transactions
Limited payment options
User Impact
Users abandon transactions after failed payments
Decreased trust in platform reliability
Solution
Integrated multiple payment gateways with dynamic routing
Added auto-retry mechanism for failed payments
Improved error messaging and retry UX
Enabled alternative payment options (UPI, wallets)
Impact
Reduced failure rate from 18% → 10%
Increased successful transactions and revenue
Improved user trust and checkout experience
Key Metrics
Payment Success Rate, Transaction Failure Rate, Revenue Impact, Checkout Conversion Rate
