Amr Saad

Designed and developed machine learning and deep learning systems. Worked with cross-functional teams to understand business needs and translate them into technical requirements for model development. Implemented and designed Neo4j graph database to extract valuable insights and patterns from graph data using machine learning techniques. Developed a chatbot integrated with the Neo4j graph database. Developed and fine-tuned recommendation engines using GNNs to personalize interactions for individuals based on their preferences and behaviors.

Collected, cleaned, and manipulated large datasets using Python. Applied statistical analysis and machine learning techniques to extract insights and trends from data. Developed and tested predictive models to support business decision-making. Created data visualizations and dashboards to effectively communicate complex findings to stakeholders. Built and maintained data pipelines to ensure timely and accurate data processing.