Rodrigo Canales is a Senior Data Scientist based in Aachen with 11 years of experience applying mathematical modeling, operations research and high-performance computing across public and private sectors. Trained as an Industrial Engineer with a Master's in Simulation Sciences from RWTH Aachen, he has progressed from student research roles to leading data science consulting and now drives advanced analytics at Bayer. His background spans logistics, tax projects and scientific software development, giving him a rare mix of domain fluency and production-grade modeling skills. Known for translating complex simulations into scalable solutions, he excels at bridging academic rigor with enterprise impact. Despite a strong research pedigree, Rodrigo focuses on pragmatic outcomes鈥攖urning models into operational decision tools that deliver measurable business value.
11 years of coding experience
11 years of employment as a software developer
Industrial Engineer, Industrial Engineer at Universidad de Concepci贸n
Certificate, Business Intelligence, Certificate, Business Intelligence at Universidad de Chile
Master's Degree, Simulation Sciences, Master's Degree, Simulation Sciences at RWTH Aachen University
Contributions:8 pushes, 1 branch in 3 years 6 months
densedistributed-memorymemorylinear-algebrasparse
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