Sameer Bhalerao

Analytics Leader · AI Systems Builder

Building AI-powered decision systems on top of a decade of analytics leadership.

9+ years at Amazon turning data into product and business decisions. Now building AI-native systems that connect data, workflows, and user interaction into real-world tools.

Sameer Bhalerao

Amazon · 9+ yrs

Sr. Analytics Leader

9+ years

At Amazon

L6

Senior Analytics Leader

€110M

Opportunity identified

$2.5B

Initiative supported

What I do

Three ways I create value

Analytics Leadership

Built and led analytics systems that supported product, marketplace, marketing, supply chain, and finance decisions across global teams.

Data-to-Decision Systems

I design metrics, workflows, and interfaces that move beyond reporting and help people act on data.

Applied AI Product Building

I build AI-powered tools that combine structured data, LLMs, APIs, and clear UX to solve real user problems.

Featured Project

Soul Spark

A multi-agent AI life intelligence system that connects finance, health, career, and behavioral data into a unified decision-support experience.

  • Privacy-first local LLM architecture
  • Multi-domain data integration
  • Conversational advisor + action loop

System Architecture

Finance

Health

Career

Behavior

Inputs

Soul Spark AI Core

Multi-Agent Orchestrator · Local LLM

MemoryRoutingContext

Advisor

Actions

Insights

Outputs

Selected Impact

Built on 9+ years of analytics leadership at Amazon

Selection Expansion — Amazon

Redesigned metrics and reporting for selection expansion across 17+ global stores, influencing multiple leadership planning cycles.

Private Brands Analytics

Built and led BI function across Product, Marketing, Supply Chain, and Finance, supporting global decision-making.

Catalog Defects Opportunity

Identified ~€110M GMS opportunity through analytics, adopted by senior leadership for quarterly planning.

Seller Growth Initiative

Delivered analytics for a $2.5B seller growth program under strict timelines, supporting annual operational planning.

These represent the kinds of problems I've worked on at scale — turning data into decisions across product, growth, and operations.

How I think

How I think

I'm interested in systems that sit at the intersection of data, product, and decision-making. I focus on turning fragmented signals into structured insights — and building tools that help people act, not just observe.

The question I come back to: what does this data mean for what someone should do next? Every system I build is an answer to that.

If you're building in data, AI, or product — let's talk

Open to full-time roles, advisory conversations, and collaboration.