$3.5M+
THE RESULT
annual savings
What I delivered
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.
The challenge
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.
How I delivered it · role & technical detail
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.
- Technology and transformation strategy
- ML forecasting, IoT data, and operational analytics
- GIS and digital twins for infrastructure planning
- Engineering organization development
Historical outcomes from the supplied career record; not a guarantee of future performance.