
About Me
I am a Fourth Year Computer Science student at Menofia University
specializing in Machine Learning and Artificial Intelligence, with hands-on experience in
building predictive models and recommendation systems.
In addition to my degree, I have completed several courses
and certifications to strengthen my skills:
📌AI & Machine Learning - ITI Summer Camp
📌Complete Data Science BootCamp - Udemy - Krish Naik
📌Computer Vision - Kaggle
I enjoy exploring how data can drive
intelligent decision-making, and I have worked with tools such as Python, TensorFlow, and
Prolog to develop AI-driven solutions.
My goal is to pursue a career in AI research and
development, where I can apply my technical skills to create innovative, real-world
applications.
Skills
What Makes Me Unique?
What sets me apart is my ability to combine machine learning expertise with practical problem-solving, demonstrated
through projects that turn raw data into actionable insights. My strength lies in bridging the gap between technical
complexity and real-world impact.
ما يميزني هو قدرتي على الجمع بين خبرتي في التعلم الآلي وحل المشكلات بشكل عملي، وذلك من خلال مشاريعي التي تحول البيانات
الخام إلى رؤى قابلة للتنفيذ. تكمن قوتي في سد الفجوة بين التعقيد التقني والتأثير الواقعي.
Education
Bachelor of Computer Science
2022 – Present | Menofia University
Specializing in Machine Learning & Artificial Intelligence. Coursework includes Data Science, Deep Learning, and Software Engineering.
Certifications

Problem Solving in C++ — Certificate
Awarded to: Ahmed Ali

Complete Data Science BootCamp
Awarded to: Ahmed Ali

Computer Vision
Awarded to: Ahmed Ali

Intro to Deep Learning
Awarded to: Ahmed Ali
Featured Projects
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🎯 Titanic Survival Prediction
Objective: Predicted passenger survival on the Titanic using machine learning techniques.
Approach:
- Data cleaning & preprocessing (missing values, duplicates, encoding).
- EDA (histograms, correlation) to understand survival patterns.
- Handled class imbalance with SMOTE.
- Feature scaling for improved model performance.
Modeling: Logistic Regression; metrics: accuracy, precision, recall, F1.
Tools: Python, Pandas, NumPy, Scikit-learn, imbalanced-learn, Matplotlib, Seaborn.

🧠 Stroke Prediction using ML
Objective: Predict likelihood of stroke from health & demographic features.
- Cleaned/preprocessed data; handled missing values and outliers.
- EDA + visualizations for patterns/correlations.
- Models: Logistic Regression & KNN.
- Evaluated via accuracy and other metrics.
Tools: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn.
Services & Pricing
ML Model Development
Custom ML models for prediction/classification tasks.
$25+ USD
Per ProjectData Analysis & Visualization
Turn raw data into actionable insights with reports and visuals.
$18+ USD
Per ProjectDeep Learning Projects
AI solutions using TensorFlow/PyTorch for CV or NLP tasks.
$18+ USD
Per ProjectWeb / Portfolio Development
Modern personal portfolios, landing pages, and websites.
$15+ USD
Per Project