Youssef E.

Key Skills

Software

Don't disclose

Top Subject Matter

Natural Language Processing (NLP): text classification and sentiment analysis

Machine Learning and NLP model training for classification

ML pipeline deployment

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

Data Science Engineer Intern — Arabian Academy (Alexandria, Egypt). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Science, Pharos University in Alexandria (2027). AI-training focus includes data types such as Text and Image and labeling workflows including Classification and Sentiment Analysis.

Labeling Experience

Data Science Engineer Intern - Arabian Academy

ImageClassification

Data Science Engineer Intern supporting machine learning projects in NLP and computer vision. Helped build and evaluate multiple text and image classification models from preprocessing through performance optimization. Collaborated with teammates to deliver milestones and communicate results using reports and metrics. • Built 5+ ML models for text classification, sentiment analysis, and image recognition, improving baseline accuracy by 12%. • Preprocessed 3 real-world datasets using feature engineering and selection to reduce noise and improve generalization. • Optimized model performance using cross-validation and evaluation metrics (F1, AUC-ROC). • Coordinated with a team of 4 and delivered structured progress reports on time.

2025 - 2025

Data Science Engineer Intern — Arabian Academy (Alexandria, Egypt)

Don't discloseTextClassification

Built multiple machine learning models for text classification and sentiment analysis as part of an internship data-prep and modeling workflow. Performed dataset preprocessing to improve signal quality prior to training and evaluation. Used cross-validation with standard metrics to assess model performance across NLP tasks. • Worked on text classification and sentiment analysis model development • Preprocessed and engineered features from real-world datasets • Evaluated using F1 and AUC-ROC across multiple NLP runs • Collaborated with teammates to deliver project milestones with clear reporting

2025 - 2025

Machine Learning Intern - Optical Soft

TextClassification

Machine Learning Intern training deep learning models for text classification and sentiment analysis. Contributed to feature engineering and hyperparameter tuning to reduce errors on real-world datasets. Worked with engineers to design, test, and deploy production-ready machine learning pipelines and share findings with stakeholders. • Trained 3+ deep learning models using NLP techniques, achieving up to 89% accuracy. • Reduced model error rate by 15% through feature engineering and hyperparameter tuning. • Helped contribute to 2 production-ready ML pipelines with a team of 5 engineers. • Communicated technical results to non-technical stakeholders via visual reports and presentations.

2024 - 2025

Machine Learning Intern — Optical Soft (Cairo, Egypt)

Don't discloseImageClassification

Trained and optimized deep learning models for text classification and sentiment analysis using NLP techniques on real-world datasets. Contributed to building production-ready machine learning pipelines by designing, testing, and deploying solutions with an engineering team. Documented results for both technical and non-technical audiences using visual materials. • Trained 3+ deep learning models for NLP-based classification • Reduced error rate via feature engineering and hyperparameter tuning • Participated in design/test/deploy of 2 production-ready ML pipelines • Communicated findings through reports and presentations

2024 - 2025

Education

Work History