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MBA Candidate ยท IIM Bangalore

Naman
Oberoi.

Inquisitive and data-driven, I explore the intersection of analytics, business strategy, and technology โ€” finding meaningful insights where others see noise.

Naman Oberoi
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Turning data into
decisions that matter

I'm Naman โ€” a data scientist turned MBA candidate, currently studying at IIM Bangalore. My journey has taken me from analyzing healthcare data at PharmEasy to exploring product strategy, always with the same underlying curiosity: what is this data actually telling us?

I believe the best insights come from approaching problems from multiple angles โ€” whether that's a Python model, a business framework, or a well-structured spreadsheet. I enjoy the full arc: from raw data to boardroom recommendations.

Outside of work and academics, I'm an avid reader, especially at the intersection of technology, society, and strategy.

3.5+
Years professional experience
2
Industries โ€” Healthcare & Ad Tech
IIM
Bangalore โ€” Class of 2026
PwC
Started career in Cyber Risk
๐Ÿ“Š
Data Science & Analytics
Built models and pipelines at PharmEasy that impacted real patient and business outcomes.
๐ŸŽฏ
Business Strategy
Bridging the gap between data insights and C-suite decisions as a Business Analyst.
๐Ÿš€
Product Thinking
Recently interned in Product Management at Media.net โ€” applying user-first thinking to business problems.
๐Ÿ”
Cyber Risk Awareness
Early career foundation at PwC India gave me a strong lens on risk, compliance, and enterprise security.

Where I've built,
shipped, and learned

Apr 2026 โ€“ May 2026
2 months
Media.net
Product Management Intern
๐Ÿ“ Mumbai, Maharashtra Internship
Explored product strategy in the ad tech space, working on features and user-facing improvements in a fast-paced PM environment.
Oct 2024 โ€“ May 2025
8 months
PharmEasy
Data Scientist
๐Ÿ“ Bengaluru, Karnataka Full-time
Developed and deployed ML models and data pipelines for one of India's leading healthcare platforms, impacting millions of users.
Apr 2023 โ€“ Sep 2024
1 yr 6 months
PharmEasy
Business Analyst
๐Ÿ“ Bengaluru, Karnataka Full-time
Translated complex data into actionable business strategy. Worked cross-functionally with product, ops, and leadership teams.
Jun 2022 โ€“ Mar 2023
10 months
PharmEasy
Data Analyst
๐Ÿ“ Bengaluru, Karnataka Full-time
Built reports, dashboards, and analytical frameworks that became core to decision-making across the organisation.
Jan 2022 โ€“ Jun 2022
6 months
PharmEasy
Data Analyst Intern
๐Ÿ“ Bengaluru, Karnataka Internship
First foray into healthcare analytics โ€” learned to navigate large datasets and deliver insights that drove real-world decisions.
May 2021 โ€“ Aug 2021
4 months
PwC India
Cyber Risk Trainee
๐Ÿ“ Gurugram, Haryana Internship
Gained foundational exposure to enterprise cyber risk frameworks, compliance, and the security landscape at one of the Big Four.

The tools of
the trade

๐Ÿ
Python
๐Ÿ“Š
Excel
๐Ÿค–
Claude AI
๐Ÿ”„
Airflow
๐Ÿง
Linux
๐Ÿ“ˆ
Metabase
๐Ÿ“
WordPress
๐Ÿ—„๏ธ
SQL
๐Ÿ“ฆ
Data Pipelines
๐ŸŽฏ
Product Strategy

What I'm up to
right now

A regularly updated snapshot of what's occupying my time and mind.

๐ŸŽ“
MBA at IIM Bangalore
Deep-diving into strategy, operations, and the business side of technology. Building frameworks to complement my analytical background.
๐Ÿง 
Learning about AI & Product
Exploring how AI tools are reshaping product management, analytics workflows, and the way businesses make decisions.
โœ๏ธ
Starting to write
Documenting learnings and opinions at the intersection of data, strategy, and technology. First posts coming soon.
๐Ÿ“š
Reading widely
Currently working through a mix of business strategy, behavioral economics, and the occasional sci-fi novel for good measure.

What people say

"
Naman has a rare ability to translate messy data into clear narratives that non-technical stakeholders can act on. His work at PharmEasy consistently drove decisions at the leadership level.
RS
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Manager, PharmEasy
"
A sharp analytical mind paired with genuine curiosity. Naman asks the right questions before writing a single line of code โ€” that's what separates a good analyst from a great one.
AP
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Senior Data Scientist

Books that shaped
how I think

๐Ÿ“˜
Thinking, Fast and Slow
Daniel Kahneman
Behavioral Economics
๐Ÿ“—
The Signal and the Noise
Nate Silver
Data & Prediction
๐Ÿ“™
Zero to One
Peter Thiel
Strategy
๐Ÿ“•
Competing Against Luck
Clayton Christensen
Product
๐Ÿ“˜
Naked Statistics
Charles Wheelan
Analytics
๐Ÿ“’
Good Strategy Bad Strategy
Richard Rumelt
Business

Thinking out
loud

All posts โ†’

Let's start
a conversation

Whether it's a project, opportunity, or just a good discussion about data and strategy โ€” my inbox is open.