Unai Garay Maestre

Unai Garay Maestre has four years of work experience. In 2020, they worked as an AI Engineer at Sorcero, where they were responsible for AI Research & Development on building a Natural Language Understanding (NLU) Platform. In 2019, they worked as a Data Scientist at Accenture, where they developed and maintained a tool that used Data Analysis, Clustering, Topic Modelling and other NLP algorithms on problem descriptions from ticketing systems to improve ticket resolution, as well as a NLP tagging service to infer people's skills and interests for employee selection tool. In 2018, they worked as a Book Author at Packt, co-authoring the book "Artificial Vision and Language Processing for Robotics". Unai also worked as a Data Scientist at Lotería El Negrito in 2018.

Unai Garay Maestre has an extensive education history. From 2018 to 2019, they studied at VIU - Universidad Internacional de Valencia, earning a Master of Artificial Intelligence in the field of Artificial Intelligence. From 2014 to 2018, they studied at Universitat d'Alacant, earning a Bachelor's degree in Computer Science with High Academic Performance. From 2016 to 2017, they studied at Athlone Institute of Technology, earning a degree in Computer Engineering. Unai also has several certifications, including Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization from Coursera in October 2021, Neural Networks and Deep Learning from Coursera in August 2021, Machine Learning Foundations: A Case Study Approach from Coursera in March 2020, Google Hash Code Online Qualification Round 3398th from Google in February 2019, Advanced (C1) Cambridge from Cambridge Assessment English in November 2018, Publication and Oral Presentation at CIARP2018 Iberoamerican Congress of the Paper Data Augmentation via Variational Auto-Encoders from CIARP2018 in November 2018, and Course Introduction to Deep Learning from UA - Universidad de Alicante / Universitat d'Alacant in July 2018.