Hello

Assistant Manager of Business Intelligence and Specialist AI Systems Developer

Data stories that become product decisions.

I’m Uttam Deb, an experienced BI analyst and AI systems developer building the analytics, automations, and AI learning tools that shape some of Bangladesh's biggest education products.

Uttam Deb by the sea
2M+ Monthly learners touched by product and analytics work in 2026.
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What I turn into clarity.

My work sits between product, business, and AI systems. The goal is not just better charts, but sharper choices.

01

Understand the behavior

Funnels, cohorts, feature usage, growth loops, and user behavior translated into product priorities.

02

Build the decision layer

Dashboards, pipelines, reporting logic, and governance that make teams faster and more confident.

03

Prototype the next workflow

Speech agents, doubt-solving assistants, RAG systems, and evaluation loops built around real learning problems.

TenTen product poster mockup
We launched TenTen in 2026, Bangladesh's first integrated AI learning ecosystem.

From scattered data to working intelligence.

A simple walkthrough of how I usually create value: understand the pattern, build the system, then make the product smarter.

Chapter 01

Find the pattern before the dashboard.

Good analytics starts before visualization. I map the business question, the event trail, and the cost of being wrong, then turn that into a surface people can actually use.

Reach92
Intent76
Friction41
Action68

Chapter 02

Prototype AI where it changes the experience.

The strongest AI features do not need to shout. They shorten a student's path to understanding, reduce operational drag, and create feedback loops that improve the product.

TenTen in-app study interface

Chapter 03

Make the artifact explain the thinking.

Reports, product concepts, and analysis decks are not decoration. They are decision tools, so the structure needs to carry the reasoning clearly.

TenTen product poster mockup

Proof of work, not just polish.

A few entry points into my work across AI product thinking, analytics implementation, performance, and user behavior.

The full archive lives one step away.

The homepage tells the story. The work archive keeps the projects, articles, experiments, and older pieces easy to scan.

If you’re building a product where data, AI, and decisions need to meet, let’s talk.

Explore serenity.

A few quiet frames from outside work, because not every useful thing has to be a product.

Off-hours photograph from Nagarkot