María Guaranda is a Data Scientist with a decade of experience blending AI research and production-grade software engineering across industry and academia. She has built ML models that delivered measurable business impact at AB-InBev and now develops data-driven projects for retail at Jumbo Supermarkten, while also teaching applied Python and predictive modelling. Her background spans generative models for turbulent systems, HPC benchmarking at CERN, and large-scale mobility and socioeconomic analysis from academic research—demonstrating strength in both scientific rigor and practical deployment. Maria contributes to open-source projects like Criptext and Creative Commons and has implemented database-level features and API systems, reflecting a full-stack sensibility behind her data work. She is pursuing advanced AI studies at Université Paris-Saclay and is particularly interested in applying fair, societally beneficial ML to physics and biology. A less obvious asset: she pairs domain-focused research (e.g., turbulence and human mobility) with hands-on engineering to move models from experiment to production.
Ingeniera en Ciencias de la Computación, Ingenieria en Ciencias de la Computación, Ingeniera en Ciencias de la Computación, Ingenieria en Ciencias de la Computación at Escuela Superior Politécnica del Litoral
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.