How I think about data, decisions, and growth
Most people use data to report what already happened.
I use it to decide what should happen next.
Over time, I realized that numbers alone rarely create clarity. Metrics show outcomes, but they don’t explain behavior. Dashboards look impressive, but they don’t answer why something worked, why it failed, or what to do differently next.
My work sits at the intersection of data analysis, human behavior, psychology, and strategy.
I focus on studying what worked, what didn’t, and the patterns behind those results. From there, I help translate insight into decisions, experiments, and strategies that compound over time instead of producing one-off wins.
I’m not interested in surface-level optimization or vanity metrics. I care about understanding systems, incentives, and human decision-making — and using that understanding to drive sustainable growth.
Who I work best with
I work best with founders, operators, and teams who care about long-term outcomes, not vanity metrics.
If you’re looking for quick hacks, surface-level optimization, I’m probably not the right fit.
If this way of thinking resonates, we should talk.