Daniel Linfon
Computer Science Engineer
Daniel is a Computer Engineering graduate from the University of Huelva with a strong specialization in AI. During his final academic year, he broadened his technical scope at the University of Stavanger (Norway), diving deep into Machine Learning and advanced computing technologies. Currently, he is part of Renault Group. This experience within a global multinational has provided him with a deep understanding of data scalability and business impact. Beyond analysis, Daniel applies an engineering mindset to develop internal applications, automate processes and optimize workflows. Known for his adaptability and attention to detail, Daniel thrives in collaborative environments. He possesses a solid foundation in Java, Python, C++, and SQL, and is driven by complex technical challenges that require continuous learning and robust software solutions.
Work Experience
Renault Group
Technical Data Analyst Intern
Supported the digitalization of logistics processes within Alliance Logistics Network (ILN) and Import Platforms & PPA’s.
- Internal Tool Development: Developed internal applications to digitalize and automate ETL processes, transforming manual workflows into efficient digital solutions.
- Data Engineering: Optimized SQL queries and data pipelines to ensure scalability and integrity across large manufacturing datasets.
Studies
University of Huelva
2021 - 2025Bachelor's Degree in Computer Engineering
University of Stavanger
2024 - 2025Erasmus+ Exchange Program (Norway)
Skill Matrix
Programming Languages & Scripting
Web Development
AI & Machine Learning
Dashboarding & KPI tracking
Microsoft Power Platform
Container Orchestration
DevOps & CI/CD
IDEs