Sergio Del Campo Barraza is a Senior Data Scientist who turns vibration and condition-monitoring signals into actionable, revenue-generating predictive maintenance solutions. With a PhD and postdoctoral work in unsupervised feature learning, anomaly detection, and transfer learning, he specializes in scalable, explainable models that generalize across sensors and sites. At Viking Analytics he leads end-to-end ML development, validation frameworks, and multi-stage product trials to move research prototypes into trusted industrial deployments. He combines academic rigor—teaching and supervising at Luleå University of Technology—with hands-on engineering experience from GE Aviation and space-instrument testing, giving him a rare blend of reliability engineering and signal-processing depth. Known for reducing data transmission needs and detecting faults months earlier in his PhD work, he excels at making complex algorithms practical for field operations. Based in Gothenburg, he thrives where cutting-edge ML meets real-world industrial impact.
5 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BSc) Mechatronics Robotics and Automation Engineering, Bachelor of Science (BSc) Mechatronics Robotics and Automation Engineering at Tecnológico de Monterrey
Doctor of Philosophy - PhD Industrial Electronics, Doctor of Philosophy - PhD Industrial Electronics at Luleå University of Technology
Master of Science (MSc) Space Science and Technology, Master of Science (MSc) Space Science and Technology at The Julius Maximilians University of Würzburg
Repository for python library supporting Viking Analytics Multiviz Engine API
Contributions:58 reviews, 30 commits, 32 PRs in 1 year 4 months
python-libraryapianalyticspythonviking
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