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Hi! I'm João Pereira.

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About me

I'm João Pereira. Most of the time I do Machine Learning. My interests are focused on deep learning applications. I previously worked with energy and healthcare data. My expertise is mainly on sequential data, especially time series processing, forecasting and anomaly detection. I took a M.Sc. degree in Electrical and Computer Engineering at Instituto Superior Técnico (IST) in Lisbon, where I did my master thesis on deep learning. Meanwhile, I developed research within the Institute for Systems and Robotics (ISR-Lisbon).
If you want to know more about my work I invite you to check out the Projects section. Please feel free to discuss and share any comments about them with me ;)

Applied Research


I do applied research in Machine Learning and, in particular, Deep Learning. I like to apply state of the art models to real-world problems, seeking to improve current approaches.
I have previously applied deep generative models (VAEs) and sequence models (RNNs, Seq2Seq, Attention) to sequential data, mostly for time series anomaly detection tasks.
I have been working on applications of deep learning to energy and healthcare, including regression, classification, structured prediction and anomaly detection tasks. Both using supervised and unsupervised models.

Education

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Integrated Master in Electrical and Computer Engineering
Instituto Superior Técnico

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Exchange Student within Erasmus+ Programme
Université catholique de Louvain

EXPERIENCE

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Internship @ EDP Group (Summer 2017)
Project on load forecasting using neural networks. 

                                                                                      Lisbon, Portugal

Internship @ EDP Group (Summer 2016)
Project of low/medium voltage networks.

                                                                                   Coimbra, Portugal

Languages

Portuguese & English

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French

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