Machine Learning Engineer dedicated to architecting scalable AI solutions. Based at Mansoura University, transforming data into algorithmic precision.
"It’s not that we use technology,
we live
technology."
— Godfrey Reggio
About Me
I am a Machine Learning Engineer at FCIS Mansoura and a DEPI Microsoft ML Intern. My focus is on turning complex datasets into actionable intelligence
I help businesses and individuals turn raw, messy data into clear insights and accurate predictions by using practical machine learning models and data-driven analysis.
Based in Mansoura, Egypt.
120+
Training Hours
Education
University
2024 — 2028
Mansoura
University
Excellence in technological education since 1972.
Faculty
2024 — 2028
Computers & Information Sciences
Department of Computer Science
Grade / Standing
Level 2 / Excellent
Consistent top-tier academic performance across all major courses.
Experience & Internships
Freelance Machine Learning Engineer
Self-Employed • Remote
- Developed and deployed end-to-end ML models for predictive analytics and natural language processing.
- Optimized data pipelines using Python and Scikit-learn, improving model training efficiency by 30%.
DEPI Intern: AI and Data Science
Digital Egypt Pioneers Initiative (DEPI) • Microsoft ML Track
- Intensive 6-month specialized training in Artificial Intelligence and Data Science.
- Mastering the Microsoft Machine Learning track, focusing on advanced data modeling and AI implementation.
Services
Exploratory Data Analysis
What it is
EDA is the critical process of discovering patterns, spotting anomalies, and checking assumptions through statistical summaries and visual representations.
Workflow
- Clean and preprocess raw datasets
- Identify correlations and relationships
Machine Learning Models
What it is
Designing and implementing predictive models that learn from data to make decisions or forecasts with high precision.
Workflow
- Regression and Classification systems
- Hyperparameter tuning & optimization
Data Preprocessing
What it is
Preparing raw data for modeling by handling missing values, encoding variables, and creating new features to boost model accuracy.
Workflow
- Handling Missing Values & Outliers
- Encoding, Scaling & Selection
Technical Skills
EDA
Exploratory Data Analysis & Visualization
Machine Learning
Predictive Modeling & Statistical Computing
Deep Learning
Neural Networks & Computer Vision
Tools & Frameworks
Certifications
Projects
Titanic Survival Prediction
Predicting passenger survival on the Titanic using Machine Learning algorithms.
Breast Cancer Detection
Diagnosing malignant tumors from cell nuclei measurements using Logistic Regression.
Project Packages.
Basic Analysis
Perfect for quick data insights and cleanup.
- Data Cleaning & Formatting
- Basic EDA & Visuals
- Statistical Summary
- Machine Learning Models
ML Solutions
End-to-end predictive modeling & AI flow.
- Advanced Feature Engineering
- ML Model Training (Classification/Reg)
- Hyperparameter Tuning
- Detailed Evaluation Report
Deep Intelligence
Complex datasets and custom AI architecture.
- Custom Deep Learning Models
- Large Scale Data Pipelines
- API Deployment Ready
- 1 Month Support