Building the platforms, systems, and foundations that keep data reliable, accessible, and scalable.
A lot of my work starts with ambiguity: unclear metrics, messy systems, incomplete signals, or decisions that need better evidence. I like turning that ambiguity into something useful—whether that means improving the underlying data, designing a better measurement approach, or building systems and tools that other teams can rely on.
This site is a notebook for that work. Some posts are technical, some are notes from problems I’ve spent time with and some are just me trying to say something plainly.
Metrics, semantic models, and experiments that help teams understand what’s happening and decide what to do next.
Building models that power prediction, personalization, and automation in products.
Senior Principal Data Scientist, US Mobile
Building across the data lifecycle—from platform foundations to analytics, experimentation, and applied ML.
Meta and Turo
Developed product judgment through measurement, experimentation, growth, and data-driven product decisions.
Berkeley M.Eng.
Built a foundation in engineering, systems thinking, and applied problem-solving.
- Start with the data and constraints that actually exist.
- Check the assumptions before treating the result as real.
- Write things down when the decision matters.
- Build the simplest system that will hold up under the load.
The easiest way to reach me is email: hamzakhawar993@gmail.com.