Anna Fernandez-rajal is a Senior Data Scientist based in Stockholm with six years of experience blending telecommunications engineering and data science to deliver production-ready AI and scalable data pipelines across healthcare, industrial monitoring, and 5G domains. She builds and deploys ML systems in cloud-native environments (Python, Airflow, AWS, Docker, Kubernetes) and has hands-on experience designing RAG architectures and agentic workflows for internal chatbot solutions. Her background as a network software developer at Ericsson gives her a practical edge in operationalizing models for telecom-grade systems and automating reproducible workflows. Holding multiple MSc specializations through the EIT Digital program (KTH and University of Turku), she combines rigorous academic training in health technology and data science with applied research in sleep prediction and vibration-based industrial monitoring. Colleagues rely on her cross-disciplinary collaboration skills and pragmatic approach to turn complex datasets into actionable, production-focused solutions.
6 years of coding experience
4 years of employment as a software developer
MSc Data Science, MSc Data Science at EIT Digital Master School
Diploma Dual, Diploma Dual at Somerset Academy
MSc ICT Innovation, Data Science, MSc ICT Innovation, Data Science at KTH Royal Institute of Technology
High School, Technology, High School, Technology at Escola Betània-Patmos
MSc Health Technology, MSc Health Technology at Turun yliopisto - University of Turku
UPC Universitat Politècnica de Catalunya
Summer School, Innovative Digital Technologies for Health, Summer School, Innovative Digital Technologies for Health at Politecnico di Milano
PAV - P4: reconocimiento y verificación del locutor
Contributions:102 pushes in 2 years 9 months
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