Mehdi Benbrahim

▪ Grade: Merit ▪ Courses: Energy Economics & Policy, Analysis of Energy Systems, Entrepreneurship in Renewables, Energy Systems Technology, Sustainable Transport. ▪ Dissertation (74%): UK Regional Electricity price dynamics for large energy consumers: Real-time & scenario-based Time Series (TS) forecasting models. The project was undertaken as part of Imperial-Sainsbury’s partnership to lower energy-related expenses and associated carbon emissions from retail activities. Energy consumption data provided by Sainsbury’s (2nd biggest UK retailer). : - Processed queries on extremely large datasets using Python, to suitably recompose the electricity bill of large energy consumers across the UK, accounting for the spatial and temporal disparity in tariffs’ fluctuations. - Built comprehensive pricing dashboards using Tableau software and Bokeh. Developed a five-year TS forecast using appropriate regressive models on R and Python; selected with respect to billing component fluctuations. - Composed scenarios to account for predictive uncertainty following interviews with 10 major actors of the energy sector including the Department for Energy, Business and Industrial Strategy, Bloomberg NEF, and National Grid.

▪ Grade: 2.1. ▪ Dissertation (72%): Consumer 3D camera for robot path teaching ▪ Creative thinking through 7 realistic interdisciplinary engineering projects in groups of 4 to 10. ▪ Directed sub-teams of 3-4; facilitated teams to provide high-end mock-up and object-oriented design of an Agile software engineering coursework worth 80% and achieved the best grade in the class.