Pedro I. Aguilera

Data cleaning, exploration and visualization with Python and Pandas; SQL; interactive dashboards with Tableau; Agile methodologies and GitHub.

NLP text classifier, Markov-model player, image classifier, KNN book recommender and linear-regression health cost calculator.

Diploma thesis: "Design and construction of a transport solution for bicycle touring equipment", using 3D modelling and FEA.

• Performed live music for "Ehrsberg ist Überall", collaborating with actors, directors and technical teams.
• Adapted musical arrangements for theater and contributed to creative sound design and on-stage improvisation.

• Designed and developed plates for vanadium redox flow batteries (VRFB), focusing on stack optimization.
• Developed a VBA-based PDM software integrated with SolidWorks for part numbering and classification.
• Completed specialized training in SolidWorks piping design.

• Constructive improvement of series components in the sports machinery division.
• Implemented a communication interface for decentralized energy storage systems, commissioned on embedded Linux (RevPi Core).
• Source code management with Git and documentation in Atlassian Confluence.

• Assembled and inspected medical devices for leg mobility restoration, following quality standards.
• Managed material handling and initiated reorder processes.

• Mathematics support for university entrance preparation, adapting to a different local curriculum.

• Toured several cities in South America, managing my own artistic project independently.

• Design, installation, maintenance and repair of automatic irrigation systems.

• Investigation of the interplay between global events and musical success by integrating and analyzing data from large-scale events and music datasets (1990-2024).
• Use of modern data processing, NLP, and embedding techniques to extract insights on how real-world events influence music popularity over time.

• Live performances, rehearsals, and studio recordings.

• Automated deployment and orchestration of containerized services via Docker Compose.
• Management of networks, volumes, reverse proxies, and service discovery for self-hosted services.
• Automated backups, monitoring, and rolling updates for highly available self-hosted infrastructure.