Jorge Filipe

Jorge Filipe is a Senior Data Scientist at Tridonic since July 2020, previously serving as a Data Scientist at HIRI from March 2019 to July 2020 and as a Researcher at INESC Technology and Science from September 2014 to March 2019. Expertise includes machine learning techniques such as supervised and reinforcement learning utilizing frameworks like Pytorch, Tensorflow, and Keras, alongside time-series forecasting for photovoltaic and wind power and electricity prices through statistical models and neural networks. Proficient in linear and nonlinear optimization, Jorge has developed and deployed software solutions leveraging Python, RESTful APIs in Django, Vue.js for business dashboards, and databases such as PostgreSQL and Cassandra. Educational qualifications include a PhD in Sustainable Energy Systems and a Master's Degree in Electrical and Computer Engineering from Faculdade de Engenharia da Universidade do Porto.