With a 3.95 GPA in Computer Engineering and a specialization in AI and Data Science, I have been building ML solutions that actually perform — not just on paper. I am currently training through the DEPI Microsoft ML Engineering program and completed an AI & ML internship at WE Egypt, where I worked on real-world data pipelines and model deployment. I have delivered projects across machine learning, data analysis, customer segmentation, and dashboard development — including a donor classification model that hit 87% accuracy using Gradient Boosting and Random Forest. I specialize in turning messy data into clear insights through interactive dashboards built with Plotly and Dash, and end-to-end ML pipelines tracked with MLflow. I have also designed polished presentations that communicate technical results to non-technical audiences. My stack includes Python, Scikit-learn, Flask, TensorFlow, and Pandas, among others. If you need data analyzed, a model built, a dashboard shipped, or a presentation that actually lands — I get it done. Send me a message and let's talk about your project.