lucia carpio
@luciacarpio
Data Analyst Engineer turning safety-critical operational data into auditable insights for engineering decisions.
What I'm looking for
I’m an Engineer with 5 years of experience in demanding, safety-critical technical environments, including over 2 years focused on data analysis of operational and technical data. My railway background taught me how data is generated at source, how hardware constraints shape signals, and why analysis must handle noise and real-world conditions.
At Stadler Rail in Zurich, I work as a technical point of contact for ETCS and Class B system issues—analyzing fault data, challenging supplier root-cause analyses, and coordinating corrective actions with commissioning teams. I plan and lead measurement campaigns on vehicles, identify recurring fault patterns across fleets, and turn findings into structured reports for engineering, maintenance, and software teams.
I’m currently completing an MSc in Visual Analytics and Big Data (graduating July 2026), strengthening my bridge between rigorous engineering and analytics with SQL/Python, Power BI/Tableau reporting, and growing data engineering capabilities (ETL/ELT, Big Data architectures, feature engineering, anomaly detection). I want to keep building data pipelines that turn messy evidence into decisions people can act on.
Experience
Work history, roles, and key accomplishments
Data Analyst Engineer
Stadler Rail
Jun 2024 - Present (2 years 1 month)
Perform technical analysis of ETCS signalling systems for safety-critical railway fleets, acting as a technical point of contact for system issues. Analyze fault and signal data, lead measurement campaigns, identify recurring fault patterns, and produce structured reports and auditable documentation for operational test monitoring and certification.
Electronic Design Engineer
ATM - Azienda di Trasporti Milanesi
Jun 2022 - May 2024 (1 year 11 months)
Provide technical analysis and evidence-based reporting to support onboard system replacement decisions for an urban transport network. Gather and structure technical data across PIS, TCMS, and rail control systems, producing recommendations for non-technical stakeholders and maintaining auditable documentation across teams.
Software Engineer - Embedded Systems
Zanotti S.p.A. (Daikin)
Sep 2021 - May 2022 (8 months)
Developed an HMI through the full lifecycle for industrial refrigeration control, including design, modelling, testing, and validation. Built experience making complex system state legible to end users.
Engineering Internship
Solum PV
Feb 2021 - Jun 2021 (4 months)
Conducted data gathering and commercial analysis for a solar energy company.
Education
Degrees, certifications, and relevant coursework
Universidad Internacional de La Rioja (UNIR)
Master of Science (MSc), Visual Analytics & Big Data
2025 -
MSc in Visual Analytics and Big Data (remote) focused on Python/SQL data pipelines, Power BI/Tableau reporting, and data engineering topics including ETL/ELT, Big Data architectures, feature engineering, and anomaly detection. Expected graduation is July 2026.
Universidad de Sevilla
Master of Science (MSc), Intelligent Systems in Energy & Transport
2020 - 2022
MSc in Intelligent Systems in Energy & Transport covering Big Data, Machine Learning, and Data Mining. Final project involved modelling a Vehicle Routing Problem.
Universidad de Granada
Bachelor of Science (BSc), Electronic Engineering
2014 - 2020
BSc in Electronic Engineering. Included an Erasmus exchange with coursework and thesis conducted entirely in Italian at Politecnico di Bari (Italy).
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Location
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