Open to opportunities

Morad elnahla

@moradelnahla

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Detail-oriented Data Scientist specializing in ML, Deep Learning, and NLP.

Egypt

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What I'm looking for

I seek roles where I can apply ML and deep learning to real-world problems, work on end-to-end projects, collaborate cross-functionally, and grow in an innovative, data-driven team.

I am a detail-oriented Data Scientist with strong foundations in Python, Machine Learning, Deep Learning, and NLP, trained through national scholarship programs and intensive professional courses.

I have built multiple end-to-end projects including a CNN-based satellite image classifier (EuroSAT) with strong validation performance, high-accuracy spam email detection using Naive Bayes, and deployed ML apps such as a car price prediction Streamlit app leveraging XGBoost and Random Forest.

I combine technical expertise (TensorFlow, Keras, Scikit-learn, SQL, Power BI) with practical data engineering, feature engineering, and visualization skills to deliver actionable insights and robust predictive models for real-world problems.

Experience

Work history, roles, and key accomplishments

AI & ML Trainee

Faculty of Artificial Intelligence - Kafr El-Sheikh Universi

Sep 2025 - Sep 2025 (0 months)

Completed a one-month specialized training in AI and ML, implementing models and evaluation metrics on real-world case studies to strengthen academic and practical ML skills.

Machine Learning Model Evaluation data preprocessing Python scikit learn Performance Optimization

AI Trainee

Information Technology Institute

Aug 2025 - Aug 2025 (0 months)

Completed a 90-hour professional AI training covering probability, statistics, linear algebra, and deep learning; built and evaluated neural network models for practical ML tasks.

Python Deep Learning Neural Networks Probability TensorFlow Keras

Data Scientist

Digital Egypt Pioneers Initiative

Oct 2024 - Jul 2025 (9 months)

Awarded a national scholarship to complete an intensive 6-month AI & Data Science track; developed Python and ML pipelines and delivered a deep-learning satellite image classification model with strong generalization.

Python TensorFlow Keras data preprocessing Model Evaluation Data Visualization