I built analytical systems and data tools for large-scale infrastructure — from real-time IoT monitoring of Uruguay's tallest tower and largest railway network, to automated inspection workflows and national R&D. Civil engineering domain. Data analyst execution.
16-month continuous displacement monitoring of landmark reinforced ceramic vault structures. Applied Pearson correlation, IQR analysis, thermal hysteresis detection, and percentile-based outlier validation across 12 sensors in 3 structural zones.
Python pipeline processing millimetric displacement data from resistive sensors across 70 train passes. Cross-referenced with operational train logs (speed, axle load, geometry). 261 automated graphs across 3 visualization scales.
End-to-end civil infrastructure inspection pipeline for Uruguay's Ferrocarril Central — a 273km PPP railway. Integrated Power Apps, SharePoint/Azure REST API, VBA/Word, and PowerShell to automate field data capture, photo classification, and report generation.
Co-authored a funded national innovation grant with Universidad de la República (FING). Developed technical State of the Art on the Concrete Maturity Method and a custom GPT agent for research synthesis. Designated Co-responsable técnico-científico.
⬡ Confidential client work — code not publicly available
End-to-end data pipeline for long-term structural displacement monitoring of heritage masonry vaults. Three-phase cleaning (geometric filter → Chauvenet criterion → iterative IQR), Pearson environmental correlation, and per-sensor statistical analysis across 12 sensors and 40,000+ observations.
Python RSS scraper for Uruguay's national public procurement platform. Implements keyword filtering with Unicode/accent normalization, 7-day date windowing, and automated Excel export via CLI execution.
Interactive fractal visualization tool with infinite zoom capabilities. Supports Mandelbrot, Julia, and Burning Ship sets. Deployed as a live web application via Vercel.
Led infrastructure monitoring projects across concurrent large-scale civil engineering sites in Uruguay — applying IoT sensor systems, data analysis, and engineering reporting to support construction and operational decisions.
Designed and implemented engineering data systems supporting civil infrastructure operations across Uruguay's Ferrocarril Central — the country's largest active infrastructure concession (273 km PPP railway).
Designed and delivered project-based STEM curriculum across 5 grade levels covering robotics, electronics, physics, and digital fabrication.
I'm a Civil Engineer who builds the analytical tools that make engineering decisions clearer — bringing domain knowledge to understand what infrastructure data means, and the technical toolkit to process, model, and communicate it.
My work has spanned real-time IoT sensor pipelines, infrastructure condition assessments, automated inspection systems, and national research grants. I operate at the intersection of engineering precision and data-driven decision-making.
I'm actively seeking roles at the intersection of civil engineering and data analysis — remote or on-site — where analytical tools connect directly to engineering outcomes in infrastructure, construction, or AEC environments.
Open to data analyst roles, remote opportunities, and engineering-adjacent data projects.