Miguel Peris Aragón
Hi, I'm Miguel Peris Aragón, a data analyst with a degree in Data Science and hands-on experience in SQL development, Power BI, and backend Python for AI applications.
About
Hi, I’m Miguel Peris Aragón, a data analyst with a degree in Data Science and hands-on experience in SQL development, Power BI, and backend Python for AI applications. I currently support Iberia Airlines’ Digital & Loyalty department as the primary Power BI and SQL consultant, redesigning dashboards, optimizing queries and data pipelines, and delivering insights for customer interaction and loyalty initiatives.
Previously I worked as an AI Engineering intern at NTT DATA, where I prototyped and benchmarked RAG-based chatbots and developed backend Python scripts used for process automation. I’m adept at validating business logic, structuring data workflows, and translating technical work into clear, actionable outputs.
- 1 year's experience
- Joined December 2025
Languages
- Spanish; CastilianFluent
- EnglishFluent
- FrenchBeginner
Industry experience
- Travel & Hospitality
- Software & Internet
- Professional Services
- Media & Entertainment
- Transportation & Logistics
Work experience
Sole consultant assigned to Iberia Airlines after passing a technical interview; primary Power BI specialist in Digital & Loyalty, managing ~10 reports. Redesigned dashboards, improving refresh speed by 40% and boosting usability and adoption for management teams. Optimized SQL queries and database views, enabling faster access to key metrics and scalable workflows. Developed business logic for a key digital initiative, attributing over €200,000 in generated revenue. Validated and corrected business rules with stakeholders, increasing report accuracy and reliability. Delivered actionable insights and supported data experiments, driving informed decisions in digital and loyalty initiatives.
Completed a 1-month AI academy; built models with Python libraries (OpenAI, TensorFlow, Scikit-learn). Prototyped and benchmarked RAG-based chatbots (Copilot, GPT-3.5, internal LLM/RAG pipeline), evaluating accuracy and response quality. Contributed to automation of water bill readings for Spain’s largest telecom: implemented backend scripts, designed prompts, and validated model outputs, laying the foundation for production deployment.
Education
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