Elena Viedma
Data Scientist
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolElena Viedma is a Data Scientist with a PhD in Software, Systems and Computation from UPM and over a decade of experience applying formal methods and machine learning to industry problems. She builds end-to-end analytical and ML solutions in the energy and banking sectors, currently contributing to data-driven initiatives at Repsol. Her academic work on weighted automata and grammars informed novel approaches to model analysis and verification, including an internship project on RNN analysis published at GECCO. Comfortable bridging research and production, she has designed big-data platforms and led deployments that emphasize temporal-series analytics and model governance. Based in Madrid, she combines rigorous mathematical training with practical engineering to turn formal insights into scalable ML products.
11 years of coding experience
7 years of employment as a software developer
Double Degree, Mathematics and Computer Science, Double Degree, Mathematics and Computer Science at Universidad Autónoma de MadridDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Universidad Politécnica de Madrid
English, Spanish
Github Skills (2)
horn7
procedure5
Programming languages (1)
Github contributions (5)
elenagutiv/Linearisation-2015
Jun 2015 - Nov 2016
Contributions:236 commits, 1 PR, 214 pushes in 1 year 5 months
clausesindexhorn-clausesprocedurehorn
elenagutiv/elenagutiv.github.io
Jan 2017 - Sep 2022
Contributions:67 pushes, 1 branch in 5 years 9 months
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