Ahmed Elsaeed

I’m a junior Data Scientist and Machine Learning Engineer with hands-on experience in data analysis, visualization, and building end-to-end Machine Learning models for real-world business problems. I’m driven by turning raw data into actionable insights and predictive solutions through strong fundamentals in mathematics and statistics for ML.

In my role at Digital Egypt Pioneers Initiative (DEPI) as a Trainee (Jun 2025 – Dec 2025), I built and applied machine learning models using Python, performing data preprocessing, feature engineering, and data visualization. I strengthened my practical ML workflow by working on end-to-end projects, and I also focused on Python and machine learning foundations through structured learning.

My projects reflect the same focus on accuracy and deployment: a Diabetes Prediction & AI Health Guidance System achieved 99% accuracy with Flask API and a Streamlit interface for real-time interaction; a Credit Risk Scoring Prediction reached 71% accuracy with model evaluation metrics; and time-series Energy Consumption Prediction achieved an R² of ~0.95. I also built regression and production-ready pipelines for Medical Insurance Charges Prediction, and created interactive HR and retail sales dashboards using Excel and Power BI tools—because I want my insights to be useful, not just accurate.