Nora Villanueva

Assistant Professor (Profesora Ayudante Doctora) at Universidade de Vigo

Greater Vigo Metropolitan Area Spain
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Summary

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Nora Villanueva is an Assistant Professor and PhD in Statistics and Operations Research with 11 years of applied data science and academic experience, currently at Universidade de Vigo. She bridges rigorous statistical research and industry-grade AI solutions, having led data teams and analytics initiatives in both research centers and startups (including Head of Data at Getlife and technical management at Gradiant). Her work spans predictive maintenance, telecom big-data analytics and customer-retention modelling, with measurable business impact such as reducing churn and boosting cross-sell performance. Nora combines teaching and research with hands-on product delivery, supervising projects that translate academic methods into operational platforms. Based in the Greater Vigo area, she maintains an academic portfolio and personal web page detailing her CV and publications.
code11 years of coding experience
job12 years of employment as a software developer
bookPh.D. in Statistics and Operations Research, Ph.D. in Statistics and Operations Research at Universidade de Vigo
bookUniversidad de Santiago de Compostela
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Github Skills (17)

interaction8
survival-analysis8
missing-data8
traits8
r-package8
splines7
curve6
clustering6
regression6
factor6
regression-models6
testing6
kernel5
fortran5
r5

Programming languages (2)

RHTML

Github contributions (5)

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noramvillanueva/npregfast

Oct 2017 - Nov 2024

An R package for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines
Contributions:3 pushes in 7 years 2 months
kernelr-packagestatisticsregressionregression-models
Contributions:49 pushes in 9 years 3 months
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Nora Villanueva - Assistant Professor (Profesora Ayudante Doctora) at Universidade de Vigo