Summary
Alma Sánchez is a data science and AI leader with eight years of experience blending academic research and hands-on engineering to solve real-world problems. Currently leading Data Science at Santander México and teaching at Universidad del Valle de México, she brings deep expertise in machine learning, deep learning, image and signal processing, IoT, and evolutionary computing. Her background includes a master’s and PhD-focused work in Artificial Intelligence at Universidad Autónoma de Querétaro, where she transitioned research into production as an AI researcher and Python developer. Known for extracting actionable insights from large datasets, she pairs rigorous analytical skills with practical deployment experience across finance, academia, and independent consulting. A less obvious strength is her track record of mentoring and teaching across multiple institutions while simultaneously driving enterprise-level data initiatives.
8 years of coding experience
4 years of employment as a software developer
Maestría, Artificial Intelligence, Maestría, Artificial Intelligence at Universidad Autónoma de Querétaro
Grado en Ingeniería, Systems Engineering, Grado en Ingeniería, Systems Engineering at Instituto Tecnológico de Querértaro