Jeddah, Makkah, Saudi Arabia
Data Scientist and AI Engineer with a background in computational science, machine learning, and high-performance computing. Experienced in building scalable analytical systems, distributed optimisation pipelines, and AI models for scientific and real-world applications. My work spans scientific computing, deep learning, and data analytics. I have developed distributed seismic inversion algorithms, parallel numerical simulations, and machine learning models, while also building automated data pipelines and Power BI dashboards that transform operational data into actionable insights. I am particularly interested in the intersection of optimisation, large-scale data systems, and high-performance computing.
- Creating a golden data source for all dashboards - Developing Power BI dashboards combined with Python/Apps Script to provide up-to-date data and analysis for both the client and the internal team.
I started working on my master's thesis in late May 2025, coordinating online with my supervisor from the DLR until August 2025, when I got the chance to continue working on it at the DLR premises.
- Ledding the collection of diverse datasets from multiple sources, ensuring data accuracy and completeness through rigorous cleaning processes. - Conducting in-depth data analyses, utilizing statistical methods and data visualization tools -such as Python codes-to uncover insights. Creating clear, informative graphs to support decision-making. - Developing comprehensive weekly and monthly reports, translating data-driven conclusions into actionable insights for stakeholders, enhancing strategic planning and environmental service delivery.
Flexibility, Critical Thinking, Problem-solving, Creativity, and Continuous Development are the key success factors when working in such a dynamic environmental services private company. When environment preservation is considered a newly adopted habit, the challenge is establishing best practices from the beginning, ensuring deep understanding, high contribution, and high-quality monitoring efforts to keep the cycle rolling and be part of achieving a sustainable future.