💼 Experience #

Insulet (Sep 2021 – Present) #

Senior Data Scientist (Feb 2026 – Present) · Data Scientist (Feb 2023 – Feb 2026) · Associate Data Scientist (Sep 2021 – Feb 2023)

• Lead end-to-end execution of Real-World Evidence studies in partnership with Medical Affairs and Clinical stakeholders, from research question to publishable results.
• Mentor junior data scientists and drive best practices in code review, reproducibility, and ML/statistical model validation across the team.
• Architect scalable PySpark/Databricks pipelines for longitudinal patient outcome analyses.
• Design and maintain dashboards for continuous monitoring of patient clinical indicators.
• Conduct ad hoc analyses to evaluate product performance and optimize feature adoption and usage.

Applications Engineer — Q-Pumps (Aug 2016–Aug 2019) #

• Provided technical guidance and personalized support to industrial clients for the selection, configuration, and optimization of process pumps.
• Developed tailored solutions that improved the pump selection process efficiency and reliability, including an optimized workflow that boosted efficiency by 300%, reaching around ten selections per day.
• Delivered technical training to sales teams and after-sales service staff.

Materials Lab Intern — GE Aviation · General Electric Infrastructure Querétaro (Jun 2015 – Jul 2016) #

• Prepared, characterized, and performed metallographic evaluation of metal samples from aircraft engines.
• Conducted non-destructive testing including penetrant inspection, microscopy, and tomography.
• Documented and reported results in support of quality assurance processes.

👨‍🎓 Education #

M.Sc. in Statistics — Linköping University, Sweden (Sep 2019–Jun 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.

📜 Certifications #

• ML Model Deployment in Production — Tecnológico de Monterrey (2022)
• Big Data with PySpark — DataCamp (2022)
• Structuring Machine Learning Projects — Coursera (2018)
• Neural Networks and Deep Learning — Coursera (2017)
• Improving Deep Neural Networks — Coursera (2018)
• Statistical Modeling, Data Manipulation & Visualization in R — DataCamp

⚙️ Skills #

Technical: Python (Pandas, scikit-learn, Statsmodels) · PySpark · Databricks (Azure) · R · TIBCO Spotfire · Power BI · Shiny · SQL · Git

Soft skills: Cross-functional communication · Scientific mentoring · Bilingual (Spanish / English) · Adaptable career path (Materials Science → Data Science)