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lucia carpioLC
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lucia carpio

@luciacarpio

Data Analyst Engineer turning safety-critical operational data into auditable insights for engineering decisions.

Switzerland
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What I'm looking for

I’m looking for a data analyst/data engineering role where I can keep building this bridge between rigorous engineering and data analytics—turning messy real-world operational data into auditable, actionable decisions with scalable pipelines.

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

SR
Current

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.

AM

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.

SP

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) logoUU

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 logoUS

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 logoUG

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).

Tech stack

Software and tools used professionally

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