From signal
to scale.

Data & AI transformation leader

Built through
experience.

16+ years across engineering, consulting, enterprise delivery, and leadership.

Experience across India, Singapore, and the United States shaped a practical leadership style: technically grounded, commercially aware, and built for complex organizations.

2023—NOW

Manager, Data Delivery

PetSmart

Enterprise delivery leadership across data products, platforms, and AI-assisted ways of working.

2021—2023

Data leadership progression

PetSmart

Four roles since joining, with expanding scope across commercial data and delivery.

2012—2021

Consulting & analytics leadership

InfoCepts

Cross-industry programs spanning financial services, media, and enterprise analytics.

2010—2011

Early engineering foundation

Persistent Systems

Built the technical grounding that still informs product and platform decisions.

Education & selected credentials

MBA, Organizational LeadershipEastern University · 2026 · GPA 3.88
BE, Computer EngineeringUniversity of Pune
Building Reliable Conversational Agents with GenieDatabricks Academy · 2026
Forward ProgramMcKinsey.org · 2025
Google Data Analytics · SAFe 5 PO/PM2022 · 2021

Strategy. Systems. Lasting change.

I turn complex data into trusted decisions and lasting capability.

Enterprise perspective.
A builder’s instinct.India → Singapore → United States

Decisions that
change the business.

Enterprise work anonymized.

Customer risk intelligence

Wholesale banking · Singapore

Shaped the data and analytics capability behind a customer risk profile analyzer for wholesale banking in Singapore.

Inside the decision

My ownership

Led end-to-end product shaping and owned the data, analytics, and enablement work across an approximately 100-person cross-functional program.

The context

Risk signals lived across complex data and operating boundaries. Leaders needed a clearer, more consistent view of each customer before they could act with confidence.

The decision

Frame the work around the decisions relationship and risk teams needed to make, then organize the data product around those moments.

What changed

Created a shared path from fragmented signals to an actionable customer risk profile, aligning product, data, analytics, and business teams around one operating outcome.

End-to-end product shaping
Data and analytics ownership
~100-person cross-functional program

Content investment decisions

Global media

Turned ambiguous Akamai behavioral logs into evidence for digital bonus-content investment decisions.

Inside the decision

My ownership

Owned the data and analytics enablement, from interpreting ambiguous event data through shaping the product questions and measurement approach.

The context

A media business had rich delivery logs but no dependable way to understand whether digital bonus content changed audience behavior or justified further investment.

The decision

Treat the logs as a behavioral evidence source, translate them into decision-ready measures, and connect usage patterns to the bonus-content portfolio.

What changed

Gave product and investment leaders a clearer basis for deciding which bonus experiences deserved attention, refinement, or reduced investment.

Ambiguous-log interpretation
Decision-focused measurement
Cross-functional product enablement

Pricing & promotion strategy

Enterprise retail

Connected pricing, promotion, assortment, and effectiveness decisions through trusted data and analytics enablement.

Inside the decision

My ownership

Owned data, analytics, and AI enablement within an approximately 100-person cross-functional program, connecting strategy with delivery.

The context

Pricing, promotion, and assortment choices touched many teams, while different data views made it harder to learn what worked and choose where to invest next.

The decision

Build a dependable analytical foundation around the commercial questions: what to sell, how to price it, when to promote it, and how to measure effectiveness.

What changed

Established a more coherent decision system for commercial teams and a reusable foundation for evaluating pricing and promotion choices.

Commercial decision framing
Data and AI enablement
~100-person cross-functional program

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Strategy is only the start.

Strategy becomes real through the system around it. My leadership operating system moves from decision framing to durable capability.

Shape the decision

Start with the executive choice, the operating constraint, and the evidence required to move.

Build trust into the system

Make quality, governance, ownership, and explainability part of the product, from the start.

Orchestrate the change

Align product, engineering, analytics, and business teams around a shared sequence of outcomes.

Leave durable capability

Create platforms, practices, and leaders that keep improving after the initial transformation.

“The goal is not a smarter dashboard. It is a stronger decision, made repeatedly.”

I still
build.

Personal products that turn noisy information into a clear next decision.

Valora

From scattered inputs.
To a clearer property decision.

Property intelligence / Maharashtra-first

Property intelligence
from whatever you have.

Built to organize messy property inputs into sourced facts that a buyer can confirm before analysis begins. Maharashtra-first, with explicit evidence and risk boundaries.

Explore Valora

Worth it?A clearer answer before you buy.

Know the value.
Make the call.

A working AI deal advisor for marketplace listings. It turns a URL, image, or description into a value range, decision signals, and a practical negotiation starting point.

Explore Worth It? View code