Adelino Ferro
@adelinoferro
Data scientist with strong math background and AI research experience.
What I'm looking for
I am a data scientist with a solid mathematical background and hands-on experience in both industry and AI research, particularly in speech and voice conversion. I have led and contributed to projects spanning recommender systems, demand forecasting, churn prediction, market mix modelling, and deep learning research published at EUSIPCO.
I am proficient in Python, TensorFlow, scikit-learn, XGBoost, BigQuery and cloud ML platforms (GCP and AWS), and I bring practical experience in data engineering, model development and small-team project management. I seek to deliver actionable data insights within dynamic teams and growth-oriented companies.
Experience
Work history, roles, and key accomplishments
Data Scientist
Faculdade de Ciências da Universidade do Porto
Jan 2022 - Nov 2024 (2 years 10 months)
Built recommender systems, demand-forecasting models and customer segmentation pipelines using SARIMAX, XGBoost and ML tooling; deployed models on cloud platforms and performed market-mix and churn analyses.
Researcher
IRCAM
Dec 2017 - Sep 2021 (3 years 9 months)
Conducted AI research in neural voice conversion and speech processing, producing a peer-reviewed CycleGAN voice conversion paper and developing datasets and models for speech emotion recognition.
Graduate Teaching Assistant
Escola das Artes da Universidade Católica do Porto
Jan 2008 - Present (17 years 9 months)
Taught practical web architecture and web languages (PHP, HTML, Javascript, CSS) and supported coursework for sound design students, improving practical coding proficiency.
Education
Degrees, certifications, and relevant coursework
Faculdade de Ciências da Universidade do Porto
Data Scientist, Data Science
2022 - 2024
Activities and societies: Projects in recommender systems, market basket analysis, SARIMAX, XGBoost, customer segmentation, churn prediction, and market mix modelling.
Data Scientist program coursework and projects focused on recommender systems, demand analysis, and machine learning applications.
Sorbonne Université
Master, Sound Design
2018 - 2019
Activities and societies: Graduate Teaching Assistant; practical classes teacher on PHP, HTML, Javascript and CSS.
Master in Sound Design studies at Sorbonne Université with a research focus and practical teaching experience in web architectures and languages.
Escola das Artes da Universidade Católica do Porto
Bachelor, Physics
2015 - 2015
Activities and societies: Practical classes teacher on web architectures and web languages.
Bachelor in Physics completed in 2015 while involved in teaching practical classes.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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