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AI Engineer with less than a year in Machine Learning & Data Science
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Results-driven Data Scientist and Machine Learning Engineer with hands-on experience in predictive modeling, deep learning, NLP, and end-to-end ML pipelines. Proficient in Python, TensorFlow, Scikit-learn, LangChain, and cloud-ready MLOps tools including Docker and Apache Airflow. Experienced with ETL processes, data warehousing, and full-stack model deployment. Demonstrated strong analytical and algorithmic problem-solving skills, having solved 2,000+ problems on Codeforces. Passionate about building scalable AI solutions and delivering measurable business impact.
Assiut University
Bachelor of Science · Computers and Information
August 1, 2020 – June 30, 2024
AnalystLab Africa
Data Analyst
March 1, 2026 – Present
India
Synent Technologies
Data Science Intern
March 1, 2026 – April 1, 2026
India
Digital Egypt Pioneers Initiative (DEPI)
Machine Learning Intern
December 1, 2024 – April 1, 2025
India
Real-Time Face Recognition System
June 23, 2026 – Present
• Built a real-time face recognition security system achieving 92% accuracy using classical computer vision and ML algorithms. • Deployed via Flask with a browser-accessible frontend for live video stream recognition.
Food Delivery AI Chatbot
June 23, 2026 – Present
• Developed an NLP-powered chatbot enabling users to browse menus, place orders, and track deliveries conversationally. • Exposed chatbot functionality via a FastAPI backend integrated with a responsive frontend interface.
Flower Species Classification
June 23, 2026 – Present
• Developed a CNN for multi-class flower species image classification, achieving 80% accuracy. • Applied data augmentation techniques to reduce overfitting and improve model generalization.
Bike Sales Dashboard
June 23, 2026 – Present
• Designed an interactive Excel dashboard with pivot tables and dynamic charts to visualize sales KPIs and trends.
E-Commerce Customer Segmentation
June 23, 2026 – Present
• Performed end-to-end data cleaning, exploratory analysis, and customer segmentation using K-Means clustering. • Identified actionable customer cohorts to support targeted marketing strategies.
Global Layoffs Trend Analysis
June 23, 2026 – Present
• Analyzed a global layoffs dataset using advanced SQL (CTEs, window functions, aggregations) to surface industry-level and temporal trends.
India Unemployment Analysis
June 23, 2026 – Present
• Conducted comprehensive unemployment data analysis with interactive visualizations revealing regional and demographic patterns.
House Price Prediction Web App
June 23, 2026 – Present
• Built a full-stack machine learning application to predict Bengaluru housing prices, achieving 75% model accuracy. • Integrated a React frontend with a Flask REST API backend serving a trained regression model.
Breast Cancer Classification
June 23, 2026 – Present
• Achieved 99% classification accuracy using deep learning; benchmarked multiple ML models including SVM, Random Forest, and Logistic Regression.
Data Analysis with Python
IBM
June 1, 2026 – Present
Machine Learning Specialization
DeepLearning.AI (Andrew Ng)
June 1, 2026 – Present
Data Visualization with Python
IBM
June 1, 2026 – Present
Deep Learning Fundamentals
IBM
June 1, 2026 – Present
Machine Learning with Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse personal projects, ranging from web apps to classification systems and data analysis, indicate a proactive and curious mindset. The blend of academic background, internships, and certifications, including Andrew Ng's specialization, shows a strong commitment to learning and self-improvement. This aligns well with a culture that values continuous growth and practical application of knowledge. The candidate's experience with full-stack ML deployment also suggests a product-oriented mindset.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical thinking, problem-solving, rapid learning ability, teamwork, and effective communication. These core competencies suggest a good operational fit for a dynamic AI engineering role, emphasizing collaboration and continuous improvement.