I founded Powered Analysis after a decade working at startups where using the wrong data had real consequences.

At Clairity, I wrote the statistics that led to the first FDA approval of AI to predict breast cancer risk.
At FlagshipRTL, I gave retail brands accurate, timely demand forecasts, because every out-of-stock unit is lost revenue.
At Keywell.ai, I transformed a boutique consultancy into an AI product company that delivers better health care to patients.

The pattern was always the same: the technical work was rarely the hard part. The hard part was helping non-technical leaders read what the data was actually saying.

I translated my experiences into analytics courses taught at Top 50 universities. Now, I'm offering the same opportunity to learn data judgment to operators and generalists.