Ambitious Computer Engineering student with a strong foundation in Process Mining and Model-Driven Engineering, actively engaged in cutting-edge academic research. Published author with demonstrated analytical and problem-solving skills, eager to apply theoretical knowledge to impactful real-world challenges in systems and information engineering. Currently advancing expertise in data-driven curricular analysis and student trajectory modeling.
Research Intern
Montevideo, Montevideo, Uruguay
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Summary
Conducts advanced research in Computer Engineering, focusing on Process Mining and Model-Driven Engineering within an academic setting.
Highlights
Co-authored and published 'Trajecta: a model-driven approach for curricular analysis with Process Mining,' presented at the ICPM Doctoral Consortium and Demo Track 2025.
Applied principles of Electrical, Electronic, and Information Engineering to analyze complex systems and communications, informing research methodologies for educational process mining.
Engaged in in-depth study and application of Model-Driven Development, enhancing understanding of system design and implementation within an academic research context.
Contributed 20 hours weekly to cutting-edge research, developing expertise in data-driven analysis of educational processes.
Employee
Montevideo, Montevideo, Uruguay
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Summary
Supports institutional functions and academic initiatives within the Faculty of Engineering at a leading public university.
Highlights
Contributes to the operational effectiveness of the Faculty of Engineering, ensuring smooth execution of administrative and academic processes.
Collaborates with faculty members and staff to support a productive educational and research environment.
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Bachelor
Computer Engineering
Courses
Systems and Communications Engineering
Model-Driven Development
Process Mining
Electrical and Electronic Engineering Fundamentals
Information Engineering Principles
Published by
CEUR Workshop Proceedings
Summary
A research paper presented at the ICPM Doctoral Consortium and Demo Track 2025, exploring a model-driven approach for curricular analysis using Process Mining techniques, with a focus on educational process mining and student trajectories. Indexed in Scopus.
Electrical Engineering, Electronic Engineering, Information Engineering, Systems Engineering, Communications Engineering, Model-Driven Development, Software Development Lifecycle.
Process Mining, Curricular Analysis, Educational Process Mining, Student Trajectory Analysis, Data Modeling, Academic Research, Quantitative Analysis.
Model-Driven Engineering (MDE), Process Mining Tools, Academic Publishing.