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I am a 30 year old Portuguese engineer with a MSc degree in Electrical and Computer Engineering fromTechnical University of Lisbon. I wrote my Masters' Thesis in Privacy-Preserving Speech Emotion Recognition, which uses concepts from machine learning and data mining to cryptography and privacy with a grade of 19/20. I did some researching work in speech mining at INESC-ID where i, along with two other fellow researchers, submitted an article to ICASSP 2018 regarding secure machine leaning as a service. The name os this article is "Exploring Hashing and Cryptonet based Approaches for Privacy-Preserving Speech Emotion Recognition" and is currently under review. I am very hardworking with a hands-on attitude, easygoing and curious-minded with a great need to learn. Moreover, I’m a flexible team player and quick learner. Most recently I have been working at Vodafone as a Senior E2E Network Analyst at Vodafone Germany where I have improved my technical and non-technical skills, such as problem solving, leadership, fast-learning, proactivity and many others.Apart from my academic life, I am a very creative and active person with a passion for music. I loveplaying guitar and singing, which has been my main hobby ever since I got my first guitar at 14. I also enjoy hanging out with friends and travelling.
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Machine Learning EngineerRadancyLübeck, Sh, De -
Senior Data ScientistVodafone Aug 2024 - PresentHamburg, Germany -
Senior Expert E2E Network AnalystVodafone Mar 2022 - Aug 2024Düsseldorf, North Rhine-Westphalia, GermanyAs a Senior Expert E2E Network Analyst, I have use my previously gained skills to proactively build complex solutions in a cloud environment that had, not only, a great monetary impact, but also influenced colleagues to aim higher in optimizing current solutions. My experience has also allowed me to take a leadership position in several projects, while also being a key player in the development of said project. -
Data ScientistVodafone Apr 2020 - Mar 2022Düsseldorf, North Rhine-Westphalia, GermanyAs a Data Scientist working on the Network Analytics team within Vodafone i have been involved in many high visibility projects needing a wide range of skills, from advanced geoanalytics and geoprocessing, to scalable cloud solutions and optimization. -
Data Scientist / Big Data TraineeVodafone Oct 2018 - Apr 2020Düsseldorf, North Rhine-Westphalia, GermanyVodafones Top Talent Discover Graduate Program is a globally accelerated development program that enables talented fresh graduates to develop and grow within Vodafone, and ultimately become Vodafone’s future leaders and experts. Within this program, graduates are free to choose where they are placed. I chose the following departments to develop my skills: › Big Data Engineering › Data Science › Customer Value Experience - Campaign Management › Network Analytics › Google Cloud Integration (Abroad Experience in Portugal Opco) -
Data Analysis InternEdp Feb 2018 - Jul 2018Lisbon Area, Portugal1. Implementation of a search-based monitoring platform for machine logs. Its main purpose is simply to track down the origin of scalable failures and crashes.2. Development of machine learning models that use machine logs to predict eventual failures and crashes in the future for the previous platform. It’s main purpose is to automatically find patterns that are out of the ordinary, which serve to predict future failures in the machines, allowing for better preparation and even prevention for these crashes. -
Research InternInesc-Id Feb 2017 - Feb 2018Lisbon Area, PortugalStarted working as a research intern with a grant in the field of Machine Learning applied to speech. More specifically, emotion recognition through speech using neural networks and other machine learning models. Adapt models to more privacy-preserving schemes in order to protect confidentiality of data along testing.
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Miguel Dias Education Details
Frequently Asked Questions about Miguel Dias
What company does Miguel Dias work for?
Miguel Dias works for Radancy
What is Miguel Dias's role at the current company?
Miguel Dias's current role is Machine Learning Engineer.
What is Miguel Dias's email address?
Miguel Dias's email address is mi****@****oft.com
What schools did Miguel Dias attend?
Miguel Dias attended Instituto Superior Técnico, Munich University Of Applied Sciences, Instituto Superior Técnico.
What skills is Miguel Dias known for?
Miguel Dias has skills like Engineering, Electrical Engineering, Matlab, Project Management, Automation, Electronics, Plc, Control Systems Design, Project Engineering, Scada, Commissioning, Autocad.
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Miguel Dias
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Miguel Dias
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