Manuel Aguirre is a Principal Data Scientist based in Barcelona with 12 years of experience bridging academic rigor and production ML, holding a Ph.D. in Statistics & Operations Research. He has led the design and scaling of forecasting-at-scale systems at PepsiCo—optimizing code, reducing experimentation cycles, and integrating foundation-model approaches to cut infrastructure costs and broaden forecasting use cases beyond demand planning. Manuel’s background in statistical learning and multimodal genomics research informs his strength in marrying deep learning architectures with principled statistical methods for noisy, high-dimensional data. Early experience in embedded systems, semiconductor process engineering, and gaming-regulation analytics gives him a pragmatic systems view and a knack for robust, testable solutions. He is equally comfortable from research prototyping to orchestrating end-to-end pipelines and deployment strategies in global production environments.
12 years of coding experience
10 years of employment as a software developer
Master's Degree, Data Mining and Knowledge Management, Master's Degree, Data Mining and Knowledge Management at Université de Nantes
Bachelor of Engineering (B.Eng.), Mechatronics, Bachelor of Engineering (B.Eng.), Mechatronics at Hogeschool Zeeland
UPC Universitat Politècnica de Catalunya
Bachelor of Engineering (B.Eng), Cybernetics Electronics. Minor: Bioengineering, Bachelor of Engineering (B.Eng), Cybernetics Electronics. Minor: Bioengineering at CETYS Universidad
Contributions:6 commits, 5 pushes, 1 branch in 6 months
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