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AI/Data science Manager
I born in Patagonia, close to the sea. In 2012, after a few years working in Buenos Aires, I moved to Barcelona to study my B.Sc at Universitat Pompeu Fabra. During my studies I had the opportunity to take courses on machine learning, pattern recognition, image and video processing. After finishing my degree, I started the Master in Computer Vision from the Universitat Autònoma de Barcelona where I learned the basic and latest topics in this field, and I also learning to use the newest frameworks for Deep Learning. Currently I'm living in London working with Laparoscopic Surgery videos. My main interests are Deep Learning and self-supervision for videos
Universitat Autònoma de Barcelona
Master in Computer Vision, Computer Vision
January 1, 2017 – January 1, 2018
Universitat Pompeu Fabra
Bachelor's degree in Audiovisual Systems Engineering
January 1, 2012 – January 1, 2017
Escuela de Musica de Buenos Aires
Sound and Recording Technician
January 1, 2006 – January 1, 2009
Medtronic Digital Surgery
AI/Data science Manager
May 1, 2024 – Present
Medtronic Digital Surgery
Senior Artificial Intelligence Engineer
June 1, 2020 – May 1, 2024
Medtronic Digital Surgery
Machine Learning Engineer
November 1, 2018 – May 1, 2020
Universitat Politècnica de Catalunya
Deep Learning internship
April 1, 2018 – August 1, 2018
Greater Barcelona Metropolitan Area
Universitat Pompeu Fabra
Data Science Internship (CMTECH group)
January 1, 2017 – September 1, 2017
Greater Barcelona Metropolitan Area
Universitat Pompeu Fabra
Becario
February 1, 2016 – July 1, 2016
Barcelona
Virtual Studio
Recording Engineer
June 1, 2011 – June 1, 2012
Argentina
Comite de Administracion del Fondo Fiduciario para el Transporte Electrico Federal
Administrative Receptionist
May 1, 2008 – June 1, 2011
Argentina
Cultural Fit Analysis
The candidate has a strong background in AI/Data Science within the medical technology sector, indicating a focus on specialized technical roles. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards AI/ML engineering and management. This suggests a potential mismatch in the day-to-day responsibilities and technical depth expected for a pure Data Analyst role, which typically focuses more on business intelligence, reporting, and statistical analysis rather than deep learning algorithm development. The early career experiences in sound engineering and administration show some diversity but are not directly relevant to the target role.
Soft Skills & Operational Fit
The candidate's career progression to a managerial role suggests leadership and project management capabilities. The descriptions of past roles indicate an ability to work on complex technical problems. However, specific details on collaboration, problem-solving approaches, or stress handling are not provided in the given data.