Danielle Dequin
Data Scientist - Machine Learning Researcher at Deustotech - Deusto Institute Of Technology
Based in Bilbao, Spain
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Seniority
Other
Department
Other
Location
Bilbao
Industry
Research
Company size
49
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d•••••••@deustotech.deusto.es
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Background
About Danielle Dequin
Danielle is a data scientist at DeustoTech, applying machine learning to healthcare challenges. She holds a BSc in Data Science from the IT University of Copenhagen, where she also taught data analytics and programming for two years. Her research interests include ethical computing and sustainability, which led her to investigation of the carbon footprint of ML competitions during her studies. Before joining DeustoTech in 2024, Danielle completed an internship at an IT consultancy, gaining experience in DevOps and back-end development. Her recent work has been published in a scientific journal, and she continues to collaborate with PhD teams on projects in health and education, focusing on prediction and clustering models. Danielle plans to stay in the Bilbao area and is looking for opportunities in machine learning or data engineering. She is particularly interested in building AI-driven, carbon-conscious solutions that address real-world medical challenges.
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