اسماعيل عز

• Designed and deployed advanced personalized product recommendation systems, enhancing product discovery and user engagement through machine learning techniques.
• Automated reporting processes using Python and n8n/cron scheduling, significantly reducing manual efforts and ensuring timely analytics delivery to stakeholders.
• Developed robust ETL pipelines to refresh datasets for Tableau and Looker dashboards, optimizing data availability and accuracy for informed business intelligence.
• Implemented RFM-based customer segmentation and clustering algorithms, enabling targeted marketing strategies and improving customer retention.
• Leveraged natural language processing (NLP) techniques to analyze customer feedback and sentiment, driving actionable insights for product development and marketing.

• Engineered a movie recommendation system leveraging Bayesian theory to accurately predict user preferences and enhance content personalization.
• Designed and implemented a robust encryption system utilizing the RSA algorithm, successfully deploying a secure, production-ready API.
• Collaborated on a machine translation project to facilitate seamless text conversion between Arabic and English, significantly improving cross-language communication.
• Acquired foundational knowledge in finance and economics, empowering my application of data science techniques in real-world scenarios.
• Passionate about advancing machine learning and NLP solutions to drive data-driven decision-making and enhance user experiences.