Saifeldin Elghetany

- Founded and scaled the Marketing Analytics unit at Egypt's most valuable startup - a super app operating across 10+ business verticals - transforming marketing decision-making by shifting the team from manual reporting to automated insights. Created the analytical backbone for marketing decisions across all channels, empowering 25+ marketers with self-service analytics capabilities to optimize performance across the entire super app ecosystem. - Built scalable, governed marketing data infrastructure on Google Cloud Platform, eliminating data silos and manual reporting bottlenecks. Leveraged BigQuery, Python, and automated ETL processes to transform fragmented data from Google Ads, TikTok Ads, Facebook Ads, and Adjust into unified insights. Delivered instant access to cross-channel performance metrics through intuitive Looker Studio dashboards, reducing reporting time from hours to minutes. - Led and engineered comprehensive business intelligence integration across departments, connecting performance advertising to the central AWS ecosystem and developing LTV/CAC modeling capabilities and end-to-end dashboards that guide marketing investments and product strategy while uncovering growth opportunities through cross-functional collaboration. - Expanded the unit by recruiting and mentoring a data analyst into a dual analyst/data engineer role, providing comprehensive on-the-job training that enabled them to contribute across the full data pipeline. Established knowledge-sharing practices through systematic mentoring on data science best practices and created a comprehensive digital knowledge repository for marketing insights across all business verticals. - Established the Marketing Science function within the unit, enabling data-driven strategic decisions across 10+ business verticals by developing and implementing statistical predictive models in R and Python that leverage the unit's data infrastructure to forecast performance and optimize resource allocation.

- Teaching the Problem Solving, Python, and Data Science (C201) section in the Computational Social Science department. - Creating learning materials for the section, including Google Colab notebooks, slides, and exercises.

Client: Aldar Properties Developed comprehensive performance reporting infrastructure for one of the UAE's leading real estate developers. Managed multi-dimensional data consolidation across 8+ property portfolios with complex reporting requirements spanning 80+ individual report components. Collaborated with data engineering team to design automated data pipeline solutions to streamline reporting workflows and reduce manual processing time. Client: Dubai World Trade Center Led digital advertising ROI optimization through comprehensive campaign management and performance analytics, driving strategic marketing investments that positioned the venue as the premier destination for international business events and global Fortune 500 corporate exhibitions. Client: Chalhoub Group - Developed automated performance analytics and reporting dashboards for Faces, the Middle East's premier luxury beauty omni-retailer, enabling data driven decision making across digital and retail channels. - Optimized advertising performance across a luxury brand portfolio including Tanagra, Molton Brown, and NARS Cosmetics, leveraging advanced analytics to refine investment strategies for premium lifestyle, beauty, and fragrance brands across the Middle East.

Won the 3rd place award and cash prize in the "Imagine the Future" 2020 national scenario planning competition after competing with 128 teams representing their universities from all around Egypt. Our team of 5 representing Cairo University has created scenarios of the future for the city of Aswan in 2050, considering the long-term trends in economics, energy supply and demand, geopolitical shifts, and social change. The scenarios were based on both qualitative and quantitative analysis, and include the impact of different patterns of individual and collective choices. Our final deliverable was a short movie that shows our vision.