Daniel López Montero
Germany
Summary
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SeniorDaniel Montero is a PhD student in mathematics focused on machine learning, combining eight years of applied data science experience with rigorous mathematical training. Based in Erlangen, Germany, he transitioned from multi-year data scientist roles at GMV to doctoral research at FAU's MoD Research Center, where he blends theory and application in ML. He holds an MSc in Mathematics and Applications and completed Coursera’s Deep Learning specialization with top marks, reflecting both formal and hands-on deep learning expertise. Daniel’s background in digitalization and big data analysis and his international education across Spain and Germany give him a pragmatic, research-driven approach to building ML solutions. Notably, he brings the perspective of a mathematician who codes—prioritizing foundational understanding that informs robust modeling and analysis.
8 years of coding experience
Stackoverflow
41reputation
6kreached
5answers
4questions
Github Skills (25)
heap-memory6
curl6
json-cpp6
eigen6
anaconda6
smoothing6
ide6
http6
functional-data-analysis6
cross-platform6
clustering5
dom5
language-server-protocol5
python5
qt5
Programming languages (3)
Github contributions (5)
dani2442/NeuralNetwork
May 2018 - Aug 2018
Contributions:10 commits, 9 pushes, 1 branch in 2 months
dani2442/dani2442.github.io
Jul 2024 - Jun 2026
Contributions:87 pushes, 1 branch in 2 years
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