Fawzan Sayed

Background

About Fawzan Sayed

I'm a Data Scientist and Analyst currently pursuing my Master's in Applied Data Science at USC Viterbi School of Engineering, with a proven record of turning complex data into actionable insights and solutions. I specialize in building end-to-end data pipelines, advanced predictive modeling, and creating intuitive data visualizations that drive strategic decision-making. My professional experience includes: Machine Learning & AI: Developed and deployed robust predictive models (CNN, U-Net, XGBoost, LLMs) enhancing efficiency and accuracy across healthcare, research, and educational technology sectors. Data Analytics & Visualization: Created interactive dashboards and automated reporting tools (Power BI, Tableau) that significantly improved operational transparency and efficiency across university-wide systems. Software Development & Engineering: Built scalable backend services, ETL pipelines, and real-time analytics platforms using Python, Apache Airflow, AWS, and Docker, significantly enhancing system reliability, efficiency, and performance. I'm passionate about leveraging data-driven methods to solve real-world problems, particularly in healthcare, automotive, and technology domains. Outside my professional endeavors, I'm a motorsport enthusiast, particularly Formula racing, and always eager to explore innovative intersections between technology and automotive performance. Let's connect and discuss how data science and analytics can empower your organization's goals! Reach out: fawzansayed@gmail.com | fsayed@usc.edu