Who I am
I work at the intersection of implementation and judgment.
I work across data engineering, analytics, and measurement systems. The through-line is practical reliability: take messy or operationally sensitive inputs and turn them into outputs teams can trust.
That shows up in GTM data engineering, attribution, KPI governance, reporting systems, experimentation, retention analysis, and workflows close to logistics and compliance.
How I think
What teams can count on from me.
- I make technical systems easier for other people to reason about.
- I care about definitions, edge cases, and the operating reality behind reported numbers.
- I prefer clear claims backed by mechanism and evidence over vague “data-driven” language.
- I value work where implementation quality changes decisions, not just dashboards.
Background
My background spans technical systems and applied economics.
I studied Data Science and Business Economics at UC San Diego, with a minor in Urban Studies and Planning. That mix is part of why my work does not fit neatly into a single lane. I am drawn to systems that sit between technical implementation and real-world trade-offs.
It also explains why my work spans warehouse modeling, product measurement, transportation analysis, and policy-adjacent questions.
Domain perspective
Transportation, planning, economics, and fairness still shape how I think.
Transportation and urbanism shaped how I think about operations, throughput, public systems, incentives, and the downstream effects of technical decisions.
They remain part of why I care about trustworthy metrics, practical fairness, and systems that hold up outside ideal conditions.
Contact
I’m looking for work where strong systems thinking and clear execution both matter.
If you would like to connect, you can reach me at tsepaksang8@gmail.com.