Manuel Aguirre

Principal Data Scientist

Barcelona, Catalonia, Spain
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Summary

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Senior
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Top School
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.
code12 years of coding experience
job10 years of employment as a software developer
bookMaster's Degree, Data Mining and Knowledge Management, Master's Degree, Data Mining and Knowledge Management at Université de Nantes
bookBachelor of Engineering (B.Eng.), Mechatronics, Bachelor of Engineering (B.Eng.), Mechatronics at Hogeschool Zeeland
bookUPC Universitat Politècnica de Catalunya
bookBachelor of Engineering (B.Eng), Cybernetics Electronics. Minor: Bioengineering, Bachelor of Engineering (B.Eng), Cybernetics Electronics. Minor: Bioengineering at CETYS Universidad
languagesSpanish, English, French
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Github Skills (32)

histopathology10
anomaly-detection10
data-mining10
machine-learning10
time-series10
wsi10
forecasting10
image-segmentation10
segmentation10
ai10
scikit-learn10
data-science9
lifecycle9
artificial-intelligence9
lightning9

Programming languages (1)

Python

Github contributions (5)

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manuel-munoz-aguirre/PyHIST

Nov 2018 - Oct 2021

A pipeline to segment tissue from the background in histological images
Contributions:1 release, 104 commits, 64 pushes in 2 years 11 months
computational-pathologyhistological-imageshistologyhistopathologyimage-segmentation
Contributions:6 commits, 5 pushes, 1 branch in 6 months
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Manuel Aguirre - Principal Data Scientist