Diego Leguizamón

Diego Leguizamón has a diverse work experience in the field of technology and sound engineering. Diego started their career as an Audio Software Engineer at CISTAS, where they developed plugins, audio algorithms, and conducted room impulse response measurements. Diego then moved on to become an Assistant Professor at the Universidad Nacional de Tres de Febrero, teaching courses related to digital signal processing and acoustical instruments and measurements. Alongside their teaching role, Diego also worked as an Audio Data Scientist, conducting research on machine learning and music information retrieval, and designing noise-reduction algorithms for voice recordings. Diego later joined MO&PC Argentina Business Solutions as a Data Scientist, before transitioning to Le Wagon as a Data Science Lead Teacher. Currently, Diego holds the position of Tech Lead at MUTT DATA.

Diego Leguizamón attended the Universidad Nacional de Tres de Febrero from 2010 to 2018, where they obtained a degree in Sound Engineering with a focus on Acoustics. In addition to their degree, Diego Leguizamón also holds various certifications, including SQL for Data Science from Coursera in 2020, Room Acoustics and Beamforming techniques from Universidad Nacional de Tres de Febrero in 2019, Noise Reduction Algorithms from Universidad Nacional de Tres de Febrero in 2018, Plugins Design using Faust from Universidad Nacional de Tres de Febrero in 2016, and Digital audio and plugins design in PureData from Universidad Nacional de Tres de Febrero in 2014.