A platform for predictive maintenance of batteries and renewable energy assets.

Development of recommendation engine.

Part of the Quantitative Research team. Researching and developing machine learning models for projects in the energy and financial sector.

Part of the power and gas trading team. Analytics and developing tools in C++, Matlab, R, VBA, SQL, Java and Python. Developing Econometrical and Machine learning techniques to forecast future electricity prices. Development of fundamental energy market model. Data analytics.

Economic Analysis for the Rural Science and Analysis team.

I was part of the Strategy Team. My work in ETI involved using the ESME model of the ETI, in order to analyze possible future energy systems for the UK. Interpretation and sense-checking the results of the computer model were major tasks too. This placement included looking into cost projections and build rates for ten different energy technologies. It gave me a better insight of the Energy market and boost my quantitative skills even further.

Private tutoring for Algebra, Geometry, Physics, Chemistry modules.