Loading profile…
Magu Diagne
Looking for a jobForecasting Advisor
I build quantitative gas-demand forecasts and financial models for utility and regulatory decisions.
United StatesForecasting Advisor at SoCalGas
About
At SoCalGas, I lead quantitative forecasting for core and non-core natural gas demand, producing short- and long-term forecasts that inform business and regulatory decisions. I build and validate statistical demand models using large datasets to quantify financial impacts.
My background spans data science, finance, and mechanical engineering, including gas supply forecasting, operations research, utility rate consulting, and forensic thermodynamic modeling. I use Python, SQL, MATLAB, Power BI, and financial models to turn operational, market, weather, and customer data into actionable analysis.
Experience
Forecasting Advisor
Lead quantitative forecasting for core and non-core natural gas demand, producing short- and long-term forecasts for business and regulatory decisions. Build, validate, and enhance statistical demand models using large, complex datasets to quantify financial impacts of major issues.
ForecastingStatistical ModelingData AnalysisPythonRSQLMatlabPower BI
Education
University of California, Riverside
Completed a Master of Science in Mechanical Engineering, with a thesis on field investigation of environmental energy balance and linear regression models of turbulent heat flux.