---
title: "OSHIJ KUMAR - Product Management Candidate | Product Analytics, User Research & MVP Development | Building AI and Data-Driven Products in Haridwar | Tal"
description: "Meet OSHIJ KUMAR, Product Management Candidate | Product Analytics, User Research & MVP Development | Building AI and Data-Driven Products based in Haridwar. AI stack includes codex, n8n, and notion. Explore public work links including github and portfolio.oshijkumar1.workers.dev."
image: "https://tal.club/meet/oshij-kumar/share-image"
---

# OSHIJ KUMAR on Tal

## Headline

Product Management Candidate \| Product Analytics, User Research & MVP Development \| Building AI and Data\-Driven Products

## About

I’m building my career in Product Management at the intersection of AI, data, and hands\-on product development\. What interests me most about product is taking an ambiguous problem, understanding what users actually need, and turning that into a clear workflow, focused MVP, and usable product\. I enjoy working across the full journey — from problem definition and user research to prioritisation, prototyping, analytics, and execution\. My computer science background also means I’m comfortable going deeper into the technical side of a product rather than treating engineering as a black box\. I’ve worked with AI workflows, databases, APIs, frontend development, automation, and analytics, which helps me communicate more effectively with technical teams and understand the trade\-offs behind product decisions\. A few projects that shaped how I think about products: PRISM — an AI\-powered meeting intelligence platform that transforms company, financial, news, social, and stakeholder signals into structured meeting briefs\. I worked across product strategy, personas, user stories, MVP definition, workflows, AI\-agent design, frontend implementation, and product metrics\. Smart Finance — explored how financial information can be simplified into a more structured and actionable experience for users\. Apex F1 Sentiment Analysis — used data and sentiment analysis to identify trends and communicate insights from public Formula 1 discussions\. Spotify Dashboard — designed an interactive analytics experience around listening patterns, KPIs, and performance insights\. Across these projects, I’ve developed practical experience in product thinking, user flows, MVP planning, product analytics, AI automation, prototyping, dashboarding, and structured problem\-solving\. My toolkit includes Python, SQL, Power BI, Excel, React, TypeScript, Supabase, n8n, and generative AI tools\. I’m looking for entry\-level Product Management and closely related product roles, particularly in teams where I can work on real user problems, learn quickly, and contribute across both product thinking and execution\.

## Location

Haridwar

## AI stack

codex

n8n

notion

openai

Figma Make

Supabase

## Education

Bachelor of Engineering \- BE, Computer Science and Engineering, CHANDIGARH UNIVERSITY

Product Management with Gen AI and Agentic AI Programme, Product Management, BITSoM \- BITS School of Management

## Public links

- github: https://github\.com/Oshij13
- portfolio\.oshijkumar1\.workers\.dev: https://portfolio\.oshijkumar1\.workers\.dev/

[View the original profile](https://tal.club/meet/oshij-kumar)

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