Intelligence at the scale of energy.
From forecasting to better decisions across $2B+ in annual electricity trading.
A problem worth solving.
In wholesale energy, forecasting errors have a direct financial consequence. The task was to move from spreadsheet-based forecasting to a dependable platform for operational decisions.
Connecting strategy to execution.
Led the development of an ML forecasting platform and the modernization of supporting systems. Grew a multidisciplinary department from 3 to 14 people and established a rapid-prototyping framework connecting research with operations.
What changed.
The platform improved forecasting accuracy and generated more than $3.5M in annual savings. The R&D framework shortened AI solution time-to-market from 12 months to 6 weeks.
Historical outcomes from the supplied career record; not a guarantee of future performance.
Working through a similar challenge?
Bring the ambition. Let’s find the path from complexity to impact.