💼 Experience #

Data Scientist — Insulet (2021–Present) #

• Applied statistical methodologies to generate Real-World Evidence in collaboration with the Medical Affairs team.
• Designed and implemented a dashboard for continuous monitoring of patient clinical indicators.
• Conducted ad hoc analyses to evaluate product performance and optimize feature adoption and usage.
• Extracted, transformed, and visualized data to support decision-making across multiple business units.
• Advanced proficiency in Python (Pandas, scikit-learn, Statsmodels), PySpark, Databricks, TIBCO Spotfire, and MS Office for analytics, modeling, and executive reporting.

Applications Engineer — Q-Pumps (2015–2019) #

• Provided technical guidance and personalized support to industrial clients for the selection, configuration, and optimization of process pumps.
• Developed tailored solutions that improved system efficiency and reliability.
• Delivered technical training to sales teams and after-sales service staff.

👨‍🎓 Education #

M.Sc. in Statistics — Linköping University, Sweden (2019–2021) #

Specialization in both theoretical and applied aspects of modern data analysis. Core coursework included: Univariate and Multivariate Statistics, Bayesian Statistics, Deep Learning, Time Series Analysis, Big Data Analytics, Machine Learning, and Text Mining.

B.Sc. in Materials Science — University of Querétaro, Mexico (2010–2015) #

Comprehensive academic foundation emphasizing scientific thinking, data interpretation, and technical problem-solving, aimed at developing evidence-based solutions.