About

I work at the intersection of data, systems, and product judgment.

I'm Hamza Khawar, a Principal Data Scientist at US Mobile. I think about how teams turn messy reality into durable models: useful metrics, reliable data systems, product feedback loops, and clearer strategic decisions.

Operating mode

My work tends to live in the space between technical depth and practical consequence. I care about the machinery behind good decisions: how data is produced, how assumptions travel through systems, how incentives shape behavior, and how product teams decide what to build next.

This site is a notebook for that kind of thinking. Some posts are technical, some are reflective, and some are attempts to put structure around ideas that are still forming.

Data systems

Instrumentation, experimentation, semantic layers, and the operational details that make analysis trustworthy.

ML / AI systems

Practical paths from models and prototypes to reliable product behavior, with attention to evaluation and feedback loops.

Product strategy

Turning ambiguous business questions into useful frames, measurable bets, and decisions teams can act on.

Background
Now

Principal Data Scientist, US Mobile

Working across data, product, and systems questions in a domain where operational clarity matters.

Before

Meta and Turo

Led and partnered with analysts, strategists, and marketers on growth, measurement, and complex decision systems.

Foundation

Berkeley M.Eng.

A technical base shaped by engineering discipline, applied problem solving, and systems thinking.

Working principles
  1. Model the system before optimizing the metric.
  2. Prefer mechanisms over vibes, especially when decisions compound.
  3. Write to make the implicit structure visible.
  4. Keep the toolchain boring when the problem is already hard.
Elsewhere

The best way to reach me is still email: hello@hamzakhawar.com.