love untangling messy user problems and turning them into actionable roadmaps—whether through data, frameworks, or just good ol’ brainstorming. From tinkering with AI tools to optimizing supply chains, I’ve learned that great products start with curiosity and thrive on iteration.
Currently:
- Interested in roles where curiosity meets impact—understanding user stories, measuring what
matters, and navigating the balance between vision and execution.
- Always up for coffee chats about early-stage ideas, UX quirks, or why your favorite app’s “simple”
feature took 10 iterations ☕️
If you’re building something, scaling something, or just want to rant about sprint planning—let’s nerd out!
Investment Analyst Intern
Highlights
Spearheaded AI startup evaluation (scouted 700+ startups, analyzed 2,700+ ventures), shortlisting 50+ through sector & tech diligence to align with firm's investment hypothesis | Contributed to white paper on AI capabilities and future impacts.
Centralized Notion deal flows, categorizing growth potential to drive $5M+ pipeline opportunities and investor decisions.
Data Engineer Intern
Highlights
Collaborated with Consulting to assess 50+ critical data elements and craft SQL scripts for Big Data analysis, resolving 20+ Jira tickets and documenting workflows on Confluence, enabling data-driven strategies for Mastercard's clients.
Led development of 5+ automated data workflows tracking 10+ KPIs across 4+ entities, enhancing decision-making.
Business Growth Intern
Highlights
Piloted AR integration into the platform, boosting new client onboarding by 20% through enhanced user engagement.
Orchestrated sales partnerships with 10+ global event agencies and HubSpot partners (APAC/NA), driving $500K+ revenue pipeline through data-driven prospecting (HubSpot/ZoomInfo) and tailored product demos.
Business Analyst
Highlights
Developed a Compliance Monitoring Data Product, resolving gaps in 250,000 loans and achieving 98% RBI compliance.
Spearheaded the end-to-end design and launch of a Lending Processing Cost Monitoring System Data Product, integrating 26+ API vendors to drive operational efficiency, achieve 95% billing accuracy, and reduce API hit costs by 38%.
Optimized the data pipeline across 5+ product teams in PL lending (KYC, Payments, Customer Support, vKYC, Fraud), reducing failures and enhancing reliability while developing 10+ new tracking metrics.
Executed cohort analysis on Lending Processing Fee impact, identifying and eliminating fees for high-impact customer segments, boosting sales by 5 Cr+/month and advancing progress toward a 25 Cr+/month revenue target.
Analyzed UPI decision trends—identifying a drop from 17% to 4% in same-month decisions despite higher approval rates—and recommended targeted refinements to boost disbursals by 10% on a base of 18L customers/month.
Product Analyst Intern
Highlights
Evaluated 30+ D2C brands, identifying 7+ for global scaling via P/L analysis to confirm market viability and scalability.
Researched market-entry strategies, optimizing supply chain/Customs costs to accelerate scalable client acquisition.
Marketing Research Intern
Highlights
Analyzed 1,000+ brand Twitter announcements using a custom-trained DistilBERT LLM (95% accuracy in classifying product discontinuations), identifying communication gaps that informed product strategy to mitigate stock price volatility.
Led competitive analysis of 8+ AI tools, authored white paper guiding product roadmap and boosting enterprise adoption.
Product Research Intern
Highlights
Defined a new product category for integrated LLMops platforms via analysis of 15+ tools, addressing unmet enterprise needs: real-time hallucination control, prompt injection security, and cost-optimized fine-tuning (25% latency reduction).
Spearheaded new product development for an AI interview platform (UI/UX via Figma, informed by 50+ user interviews), defining a phased GTM strategy (beta launch → pricing tiers → roadmap alignment) to drive adoption.
Bachelor of Technology
Civil Engineering, Minor in Electronics Engg.
Grade: 8.17/10
SQL, Tableau, Excel, Python (Pandas, NumPy), Metabase.
Jira, Notion, Figma, Latex*, React.JS*, Node.JS*, Express.JS*, JavaScript*.
Hustle-driven builder : Spearheaded validation of 5 ventures—including AI-powered API documentation tools, hyperlocal coffee supply chains, and enterprise sales automation—via 20+ user interviews and 100+ MVP validations., Volunteering : Established a donation drive to raise INR 10,000 for high school donation through Aasha Campaign..
Summary
Proposed an automated real estate investment model decision-making model, saving clients 10+ hours per investment. Discovered 300+ decision parameters to calculate ROI and risk factors, building a robust Bayesian network model.
Summary
Proposed solutions to reduce CO2 footprint in packaging by 21%, warehouse by 50%, last-mile delivery by 25%. Recommended an AI-driven last-mile delivery model and reusable designer bags with slip sheets for FMCG packaging.
