Machine Learning Engineering Intern

I am a detail-oriented data and AI enthusiast with a background in English linguistics and hands-on experience in data entry, data analysis, and machine learning projects. I enjoy working with structured data, building clean workflows, and turning raw information into useful insights.

I studied BA English at Cairo University, which strengthened my communication, research, and analytical thinking skills. I later expanded my technical foundation through training in Data Analysis and Statistics, as well as Data Science and Machine Learning at Epsilon AI Academy.

My experience includes data entry work at Orascom Construction, where I developed accuracy, consistency, and attention to detail while handling operational data tasks. I also completed a Machine Learning Engineering internship at FlyRank AI , where I contributed to building production ML systems under the guidance of mentors and senior team members.

I have worked on practical projects such as renewable energy analysis and electric vehicle classification, applying machine learning, feature engineering, statistical analysis, and data visualization techniques. These projects helped me strengthen my problem-solving skills and my ability to work with real-world datasets.

My technical interests include artificial intelligence, deep learning, computer vision, and robotics. I am comfortable using Python and related data science libraries, and I enjoy learning new tools and methods that improve model development and deployment.

I am open to opportunities where I can continue growing as a machine learning or data-focused professional, contribute to impactful projects, and keep building my skills in a collaborative environment.