Zagazig University
Faculty of Computers and Information
Artificial Intelligence Department
Current Level: Third-Year Student
Hello, my name is
Emad Elden Mohmad
Focus areas: Machine Learning and Data Analysis.
Building practical machine learning solutions and transforming data into clear, actionable insights.
Introduction
About Me
I help business owners, researchers, and project owners turn data into clear insights and build machine learning models for practical objectives.
If you have data but are unsure how to use it, or need an analytical model without a clearly defined project idea, I can help—from extensive internet research to identify a suitable idea and potential data sources, through data preparation, model development, evaluation, and explanation of the most influential features.
My standard scope covers Supervised Learning and Unsupervised Learning, with Streamlit interfaces and user-guide documentation available when needed.
It does not include Time-Series data, Deep Learning models, or methodologies outside supervised and unsupervised learning.
One of my projects is the Early Warning Economic System, built using XGBoost. It achieved [TRAINING ACCURACY] training and [TEST ACCURACY] test accuracy, with an approximate ability to detect [DETECTION RATE] of cases.
The project took approximately [PROJECT DEVELOPMENT DAYS] of continuous development.
The average delivery time is five days to one week, and it may be extended according to the project’s requirements and complexity.
Pricing is negotiable after reviewing the project details and required data.
If you have a project, data, or an unfinished idea, send me a message with your objective, domain, and available data, and I will help you identify the right next step.
Academic path
My Education
Training
My Experience
-
NTI — Machine Learning for Data Analysis
Currently enrolled in the NTI Machine Learning for Data Analysis program, developing practical knowledge in Machine Learning and Data Analysis.
Skills learned
- Machine Learning fundamentals
- Data Analysis fundamentals
- Data preprocessing
- Model evaluation
- Practical analytical thinking
Foundations
My Skills
Developing professional foundational skills — honest, practical, and continuously improving.
Machine Learning Basics
Understanding supervised and unsupervised learning, preprocessing, model training, evaluation, and basic model selection.
Data Analysis Basics
Data cleaning, exploratory data analysis, visualization, identifying patterns, and extracting useful insights.
Internet Research for Project Requirements
Ability to research project requirements, identify suitable approaches, investigate potential datasets, and find useful technical resources online.
AI Tools
Ability to use modern AI tools to support research, development, problem solving, documentation, and productivity.
Selected work
Featured Projects
Reusable cards — duplicate a card below when you add a new project.
Early Warning Economic System
PROJECT_DESCRIPTION — supervised learning project using XGBoost. Replace this text with a short, accurate summary.
- XGBoost
- PROJECT_TECHNOLOGIES
- Training Accuracy
- [TRAINING ACCURACY]
- Test Accuracy
- [TEST ACCURACY]
- Detection Rate
- [DETECTION RATE]
- Development Time
- [PROJECT DEVELOPMENT DAYS]
Result: PROJECT_RESULT
Reviews
What People Say
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What I offer
My Services
Machine Learning Model Development
I build machine learning models that fit your business domain, project objectives, and available data.
Data Analysis
I analyze your data to discover patterns, trends, relationships, and useful insights that can support better decisions.
Project Research & Data Discovery
I research project requirements, identify suitable approaches, and help find potential data sources when the project idea or dataset is not yet clearly defined.
Machine Learning Project Support
Support with data preparation, model development, evaluation, interpretation, and documentation.
Contact
Get In Touch
Share your objective, domain, and available data. I will help you identify the next step.