Cesar Ramirez
Machine Learning Engineer
Ciudad Nezahualcóyotl Area, Mexico
Summary
👤
Senior🎓
Top SchoolCesar Ramirez is a Machine Learning Engineer with a decade of experience applying statistics, algorithms, and ML to solve IT problems, based in Ciudad Nezahualcóyotl, Mexico. He combines practical engineering with advanced academic training, including an MSc from The University of Edinburgh and engineering studies in Mexico, which gives him both international research exposure and local deployment know-how. Cesar focuses on turning data-driven insights into reliable solutions across diverse domains, emphasizing rigorous statistical foundations. He is comfortable bridging theory and production, likely contributing to projects end-to-end from model design to implementation. A detail that sets him apart is his trajectory from technical vocational training to advanced graduate study, reflecting both hands-on skill and deep analytical breadth.
10 years of coding experience
Master of Science (MSc), Master of Science (MSc) at The University of EdinburghIngeniería, Ingeniería at Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías AvanzadasTécnico, Técnico at CECyT 3 Estanislao Ramírez Ruiz
Github Skills (14)
linear-regression10
genetic-algorithm10
machine-learning-models10
python9
machine-learning9
bare9
data-mining9
regression9
deep-reinforcement-learning9
deep-learning8
accessibility8
data-science8
numpy4
audio2
Programming languages (4)
Github contributions (5)
planet-cloud/review_project
Aug 2019 - Aug 2019
Contributions:4 PRs, 36 pushes, 18 branches in 1 day
cesar0205/autoencoder-gan
Mar 2019 - Mar 2019
Contributions:3 commits, 2 pushes, 1 branch in 22 days
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