Daniel Cañueto
Staff Data Scientist
Greater Barcelona Metropolitan Area Spain
Summary
👤
Senior🎓
Top SchoolDaniel Cañueto is a PhD-trained Staff Data Scientist based in Barcelona with nine years of experience building and productionizing batch and real-time ML systems, primarily for fraud, risk, and monetization in tech companies. He combines ownership and pragmatic engineering—deploying low-latency risk scores and anomaly detectors that measurably cut false negatives and operational loss—with a strong research background in applied ML from his doctoral work. His projects span NLP, graph signals, audio spectrograms, browser fingerprints and time-series anomaly detection, reflecting a comfort with diverse data modalities and tight product integration. He has a track record of translating stakeholder needs into high-impact, deployable solutions while mentoring junior teammates and shaping model governance for client-facing score exposure. An unusual strength is his cross-domain fluency from bioscience and metabolomics research to real-world fraud prevention, enabling creative signal engineering and robust validation.
9 years of coding experience
7 years of employment as a software developer
Máster de Neurociencias, Máster de Neurociencias at Universitat Autònoma de BarcelonaDoctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Universitat Rovira i Virgili
English, German, Spanish, Catalan
Stackoverflow
11reputation
2kreached
0answers
2questions
Github Skills (22)
htmlwidgets9
r-package8
datatables6
plotly6
shiny6
plug6
amazon-web-services6
plot6
shiny-server6
spectra6
r6
jquery5
exploratory5
javascript5
jstree4
Programming languages (2)
Github contributions (5)
user05011988/userproject
Aug 2016 - Mar 2017
Contributions:43 pushes, 1 branch in 6 months
user05011988/shinyinterface
Sep 2016 - Oct 2016
Contributions:26 pushes, 1 branch in 26 days
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