Marta聽Sestelo
Executive Committee, Vice President For Statistics At SGAPEIO
Pontevedra, Galicia, Spain
Summary
馃懁
Senior馃帗
Top SchoolMarta Sestelo is an Associate Professor in the Department of Statistics and Operations Research at Universidade de Vigo with 12 years of academic and industry experience bridging statistical research and applied data science. She leads statistical initiatives as Vice President for Statistics at SGAPEIO and has steered analytics teams in industry roles, including Technical Manager of Data Analytics & AI at Gradiant. Her work spans survival analysis applied to finance, postdoctoral research in mathematical statistics, and teaching/training for organizations like BBVA, reflecting a strong mix of theoretical depth and practical impact. Marta holds a PhD in Statistics and is based in Pontevedra, Galicia, where she combines university leadership, applied consultancy, and ongoing contributions to the statistical community. An intriguing thread through her career is the sustained interplay between rigorous research and real-world deployment of statistical models in both institutional and commercial settings.
12 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics and Operations Research, Doctor of Philosophy (PhD), Statistics and Operations Research at Universidade de Vigo
Github Skills (20)
interaction10
r9
journal9
testing9
r-package9
fortran9
regression-models9
open-access9
kernel8
traits7
academia7
missing-data7
creative-commons7
clustering5
survival-analysis5
Programming languages (3)
Github contributions (5)
sestelo/machine_learning_workshop_gdg2018
Nov 2018 - Jul 2020
Contributions:9 commits, 7 pushes, 1 branch in 1 year 8 months
sestelo/npregfast
Jun 2014 - Sep 2022
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:8 releases, 252 commits, 9 PRs in 8 years 3 months
kernelrr-packageregression-modelsallometric
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