insha✳ Let’s talk
BUSINESS ANALYST → PRODUCT MANAGER

Curious mind.
Product instinct.

Hi, I’m Insha.
I connect the dots between what people need,
what data tells us, and what we build next.

Based in Bengaluru, India · Building with intention
INSIDE MY PRODUCT BRAIN↗
Good products start with listening.click a thought ↗
A FOUNDATION BUILT ATShellLabsNIT RourkelaEngineering roots.
Product perspective.

A FEW THINGS I’VE WORKED ON

Less guesswork.
More good decisions.

From enterprise workflows to early-stage ideas.
Always starting with a problem worth solving.

4 selected stories

THE PERSON BEHIND THE REQUIREMENTS

Analytical by training.
Curious by default.

Insha standing in front of snow-covered mountains

I started in Computer Science and Engineering at NIT Rourkela. Found my footing in business analysis. And kept coming back to one question: are we building the right thing?

At Shell, I translate complex business needs into requirements, priorities, and releases. Along the way, I’ve led AI workflow development, aligned cross-functional teams, and stepped into project management when delivery needed it.

Now I’m bringing that foundation into product management - pairing technical depth with a closer focus on discovery, decisions, and user value.

Problem discoveryAI & RAG workflowsPrioritizationStakeholder alignmentProduct analyticsUAT & release readiness
Get the full picture. Read my resume

EXPERIENCE & RESEARCH

Building in practice.
Exploring through research.

AUG 2024 — PRESENT

Associate Business Analyst

Shell · Bengaluru

Led development of DEEP, an AI workflow for sprint planning, and coordinated requirements, UAT, and release readiness across credit and trade-finance platforms. Partnered with business, engineering, and vendors to move complex deliveries forward.

MAY — JUL 2023

Software Development Engineer Intern

Labs · Bengaluru

Built PURPOSE, a React and Firebase mentorship platform supporting 300+ users, with 90% less manual matching intervention.

2024 · RESEARCH PUBLICATION

IoT-based Heart Health Monitoring System

Published with IEEE · Best Paper Presenter, C2I6 2024

Read the paper on IEEE

Developed an IoT and machine-learning cardiovascular monitoring system using Arduino UNO, MQTT, AES-256 encryption, and Python Tkinter for secure real-time monitoring and alerts.

LET’S START A CONVERSATION

Good products start
with good conversations.

Have a product challenge, an opportunity,
or an interesting question? I’d love to hear it.

Say hello