Noura El Moussa
Noura El Moussa
Biography
Dr. El Moussa is a research and teaching doctorate assistant specializing in software engineering, artificial intelligence, and data science. She brings a strong combination of academic expertise and applied technical skills, with a focus on building and analyzing complex data-driven systems.
With over seven years of teaching experience in computer science-related subjects, she has developed a solid foundation in both theoretical and practical aspects of computing. Her work spans areas such as data engineering, cloud systems, and intelligent applications, reflecting a multidisciplinary approach to modern technology challenges.
Noura combines strong technical proficiency with hands-on research experience, contributing to the development of scalable, data-centric solutions in both academic and professional environments.
Teaching Experience
Dr. El Moussa has over seven years of teaching experience in computer science, covering subjects related to software engineering, data science, and artificial intelligence.
As a teaching and research assistant, she has delivered courses and supported students in developing both foundational knowledge and practical skills. Her teaching approach emphasizes applied learning, enabling students to work with real tools and technologies used in industry.
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Industry Expertise
Dr. El Moussa brings strong technical expertise in data engineering, cloud systems, and data-driven applications.
Her work includes the development of monitoring solutions for complex, human-centric ecosystems, as well as the design of approaches for managing dynamic cloud environments using technologies such as Kubernetes. She has also contributed to projects involving large-scale data processing and system performance monitoring.
In addition, she has professional experience in data engineering within regulated environments, including work related to IFRS17 and CRM integration. Her expertise spans the full data pipeline, from data collection and processing to analysis and visualization.
She is highly proficient in a wide range of technologies, including Python, R, MATLAB, and modern data engineering tools such as Apache Spark, Hadoop, Kafka, and Airflow. Her skill set also includes business intelligence and visualization tools such as Power BI, Tableau, and Grafana, as well as experience with both SQL and NoSQL databases.
Education
● PhD in Computer Software Engineering — USI Università della Svizzera italiana