Youssef S.

Passionate about extracting hidden patterns from noisy data and building machine learning models that create real-world impact, I’m an AI & Data Science student at the Egypt-Japan University of Science and Technology (E-JUST ’29).

My work spans the complete ML lifecycle—from exploratory data analysis (EDA) and data cleaning to feature engineering, model training, evaluation, and deployment. I focus on turning data into practical solutions for real-world business problems.

Currently, I’m developing my skills through two technical internships:

• **Machine Learning for Data Analysis Intern – NTI:** Designing supervised and unsupervised ML pipelines and building end-to-end predictive web applications using models such as XGBoost, Random Forest, and clustering algorithms, with Flask backends and interactive dashboards.

• **AI Trainee – Telecom Egypt (WE):** Performing EDA, feature transformations, and predictive modeling on real-world datasets, including an end-to-end used-car price prediction project achieving 95%+ evaluation performance.

**Global Exposure:** Completed technical AI coursework through the Global Consumers Intelligence (GCI) program with the University of Tokyo’s Matsuo-Iwasawa Lab.

**Technical Core:**

AI & ML • Supervised & Unsupervised Learning • Feature Engineering • Predictive Analytics • EDA • Data Cleaning • Data Visualization • Model Evaluation • Flask • Python • C++ • Java • Git/GitHub • Joblib/Pickle

🎓 AI & Data Science @ E-JUST | Class of 2029