Samar Ghachem

I’m a Computer Science Engineering student with a strong interest in AI, Data Science, and Fintech. I focus on turning ideas into practical projects, and I’m eager to contribute to innovative tech environments where I can keep learning by building.

In my internships, I designed an NBO/NBA system for the prepaid mobile customer base by combining churn prediction, Dual SIM detection, and a hybrid recommendation approach with Machine Learning models, then deployed it as an interactive Streamlit application. I also built a sales forecasting application using Random Forest and IsolationForest (anomaly detection), benchmarked it against XGBoost, and added a generative model (Flan T5) to generate summary reports.

I’ve also developed dashboards with React and integrated APIs to present dynamic data. Across projects like a multi-agent system for dirt dynamics and an AI chatbot for FAQ automation, I’ve worked with modern ML and NLP tooling and enjoy applying end-to-end engineering to deliver useful experiences.