Data analytics professional with proven experience in enterprise data architectures, cross-functional stakeholder relationships, and statistical analysis driven insights.
UPenn · Imperial College London · Based in Riyadh
I'm Adeeb Shaheed — a data scientist with deep experience spanning finance, telecommunications, research, and business intelligence. My approach combines rigorous statistical methods with creative problem-solving to extract meaningful patterns from complex data.
Currently pursuing a Master's in Machine Learning & Data Science at Imperial College London while building data systems at HungerStation. Previously at WinYield in London creating AI-powered investment research and quantitative strategies, and at Gibraltar Technologies in Dubai architecting enterprise solutions.
I've presented research findings to department heads at UNODC, INTERPOL, and the U.S. Department of Homeland Security, and contributed to AML/CTF publications.
← DRAG TO EXPLORE →
LLM-powered research pipeline increasing operational efficiency by 80% with 95% accuracy for automated investment intelligence.
Statistical models achieving high PSR using innovative techniques and ML models to compensate for the lack of a high-frequency setup.
Comprehensive data infrastructure combining multiple database technologies and workflows, establishing foundation for data-driven decisions.
OpenCV-based detection and sensor integration solutions improving system response time by 30% across diverse data sources.
Have a project in mind, a role to discuss, or just want to talk data? I'm always open to interesting conversations.