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Higher Education Instructor

Faced with the growing gap between massive data accumulation and the extraction of real value, I led the design and execution of advanced technical analytics programs at the University of Costa Rica. My objective was to empower multidisciplinary professionals to overcome the challenge of processing raw data and converting it into strategic assets using cutting-edge tools and agile methodologies such as CRISP-DM.

I optimized learning processes by implementing advanced environments in R, Python, and SQL, focusing on automated data capture (CSPro), high-impact visualization, and the deployment of Machine Learning models for predictive classification. I successfully certified groups of experts in large-scale data manipulation and model validation under Git version control standards, ensuring 100% reproducibility in statistical analysis and a substantial improvement in the accuracy of inferences for evidence-based decision-making.

In this role, I served as a lecturer for the following courses:

  • Principles of Machine Learning for Classification Problems with R

  • Statistical Programming with R

  • Computational Statistics II

  • General Statistics II

  • Introductory Statistics II

  • Introductory Statistics I