Nour Madbouly

Build Initial Orbit Determination (IOD) tools that estimate a satellite's state vector and six orbital elements from ground-station tracking data. Implemented six classical IOD methods behind one engine interface, validated against textbook reference cases, and deployed with an interactive Streamlit interface.

Contributed to end-to-end data science projects, from data collection and preprocessing to model deployment. Built and optimized machine learning models for predictive analytics and business insights, and wrote SQL queries to manage and analyze large datasets.

Delivered end-to-end ML projects to trainees, covering Random Forest, XGBoost, and Neural Networks for predictive tasks. Built scalable data pipelines integrating SQL and Python, and deployed models with Streamlit and FastAPI.

Completed a 120-hour AI track covering applied machine learning fundamentals and hands-on project work.

Completed IBM certifications in Generative AI and LLMs, including foundational models for NLP and language understanding.

Earned the Huawei Certified ICT Associate in AI (HCIA-AI) certification.

Earned IBM professional certificates in Machine Learning, Deep Learning, and AI Engineering.

Completed the Machine Learning Specialization offered by DeepLearning.AI and Stanford Online on Coursera.

Pursued a Bachelor of Science in Computer Science and Information Technology, completing a graduation project on a web application for disabled students with accessibility testing.

Earned the AWS Certified Cloud Practitioner certification.

Completed a 120-hour AI track covering applied machine learning fundamentals and hands-on project work.