Sofia Pinto
Sofia is a data scientist at Nesta, working with the sustainable future mission team on decarbonising UK homes. During her time at Nesta, Sofia worked with energy performance certificates, social media and smart meter data to: estimate the cost of low carbon heating technologies, identify issues faced by homeowners in their low carbon heating path, understand how people consume energy in their homes.
Prior to joining Nesta, Sofia worked as a data scientist at Imperial College London, assessing the accuracy of crowdsourced data for road traffic collision and injury surveillance. Before this she worked as a research fellow at the Social Physics and Complexity research group, LIP Portugal, on health related projects such as identifying antibiotic over-prescription and factors influencing it.
Sofia holds a Bachelor’s degree in Applied Mathematics and Master’s degree in Data Science and Advanced Analytics.
Sessions
Smart meters have the potential to not only provide information to individual householders about their energy consumption, but to identify patterns of usage across the entire energy system. At Nesta, we have been analysing smart meter data to uncover information about energy consumption habits, and how household appliances, physical property characteristics and demographic factors influence energy usage - as this can help develop energy-saving initiatives.
In this talk we will present the data science techniques we used, such as clustering, present our results as well as discuss how we translate them to a non-data science audience, and share learnings of conducting data science work in a secure data lab to allow for analysis of sensitive and confidential data.