Headline

Product Analytics Intern @ LetzRyd | CS @ PES University | Aspiring PM

About

▸ endlessly curious ▸ fascinated by how businesses, products & people work (especially the psychology behind it) ▸ currently learning through internships, projects & way too many rabbit holes ▸ trying to understand the "why" behind every decision and learning to make deliberate decisions ▸ sharing things that make me think differently ▸ hoping to build meaningful businesses someday always happy to connect with curious people :)

Location

Bengaluru

AI stack

claude code

claude

codex

notebooklm

notion

openai

Work experience

Product Analyst at LetzRyd, Aug 2026 - Present · 3 mos, Currently working on: 1)Designing a Fleet Maintenance Operating System to digitize and standardize vehicle maintenance operations across the organization. 2)Leading product discovery by collaborating with Operations, Maintenance, and Business teams to understand existing processes and pain points. Translating complex operational workflows into scalable product requirements, user journeys, domain models, and engineering-ready specifications. 3)Defining the end-to-end maintenance lifecycle, including preventive servicing, breakdown management, inspections, approvals, work orders, service history, and vendor interactions. 4)Building detailed PRDs, workflow diagrams, functional specifications, and acceptance criteria for implementation by an external engineering team. 4)Designing a modular and configurable architecture that supports future expansion without requiring major product redesign. 5)Working alongside the Management Intelligence Platform to ensure maintenance data integrates seamlessly into operational dashboards and business reporting.

Management Intern at LetzRyd, Jun 2026 - Jul 2026 · 2 mos, • Working closely with leadership to understand business operations, fleet management, and growth strategy in a mobility-tech startup. • Supporting analytics initiatives around driver behavior, fleet utilization, operational efficiency, and business performance metrics. • Assisting in data-driven decision making through analysis of customer, driver, and operational data. • Gaining exposure to product, operations, and business functions to understand how technology and analytics drive business outcomes. • Contributing to projects involving business intelligence, reporting, process optimization, and strategic analysis.

Events Domain Member at The Entrepreneurship Club of PES University, Aug 2024 - Nov 2025 · 1 yr 4 mos

Education

Bachelor of Technology - BTech, Computer Science, PES University

High School Diploma, Computer Science, BGS National Public School - India