RAWAN ALAHMADI

Travel AI Agent – Developed an AI-powered travel recommendation system integrating advanced data analytics and machine learning techniques to optimize trip planning and provide personalized suggestions. DeepFake Analysis Project – Implemented deep learning models to detect manipulated media, enhancing understanding of AI ethics, image/video processing, and anomaly detection. Behavioral Risk Intelligence – Built predictive models to identify behavioral and operational risks, applying data mining, statistical analysis, and visualization techniques to provide actionable insights. Data-Driven Business Analytics – Conducted end-to-end data analysis projects, including cleaning, transformation, modeling, and dashboard creation to support strategic decision-making. Predictive Analytics & Machine Learning Applications – Designed and deployed regression, classification, and clustering models for real-world datasets to solve complex problems and optimize performance. Capstone Project: Integrated AI & Data Engineering – Leveraged AI models, Python, SQL, and visualization tools to combine data engineering, predictive modeling, and decision-support systems in a comprehensive end-to-end project. Gained hands-on experience in Power BI, Tableau, Python (Pandas, NumPy, Matplotlib), SQL, and modern machine learning frameworks, reinforcing both technical and analytical competencies. Participated in collaborative projects, hackathons, and research initiatives, demonstrating strong problem-solving, teamwork, and practical application of theoretical knowledge.