Selvi has an extensive professional background for 14 years at the leading energy companies including Enerjisa, E.ON, Verbund, Ciner Group and worked at various functions in generation, trade, distribution and retail areas. She accomplished several projects and tasks during her expertise with working at theoretical functions, cross-functional team management and project management. Some of the projects and responsibilities she acted in are automatic meter reading project with Siemens, meter data management module (MDM) integration, balancing and power market activities, theft and loss analysis, short term demand forecasting, long term demand forecasting, SAP-ISU implementation, managing operational expenditures determining project of distribution companies using econometric modelling with Eviews, SPSS, benchmarking and efficiency and quality modelling.
Selvi is currently working as part of a Knowledge Transfer Partnership with School of Computer Science, University of Nottingham, UK and E.ON. The aim is to enable and empower customers to transition from 'passive energy customers' into 'proactive energy customers' by bringing data science, machine learning and optimisation into the energy management systems.
She received her bachelor's degree on Statistics and Computer Science at Baskent University, Turkey and achieved her MBA at Hacettepe University, Turkey and MSc degree in Sustainable Energy at the University of Nottingham, UK with a dissertation on developing a linear model to show the relationship between air leakage and infiltration rates in UK dwellings using SPSS and Matlab.
Applying data science and machine learning into E.ON's energy management systems to enable and empower E.ON's customers to transition from 'passive energy consumers' into 'proactive energy consumers'.