Turning raw datasets into clean insight, experiments, and decision-ready findings.
AI systems, data insight, and community impact
Abdelrhman Al Ghonimi
Data Scientist, Machine Learning Engineer, AI Engineer, Data Analyst, and Microsoft Learn Student Ambassador from Mansoura, Egypt.
I build end-to-end machine learning pipelines, translate complex datasets into clear decisions, and help student communities learn practical AI, Azure, GitHub, and Copilot skills.
Building practical prediction pipelines with evaluation, tuning, and usable interfaces.
Exploring healthcare AI, computer vision, and intelligent tools with real project context.
Creating workshops, communities, and learning paths around Microsoft and AI technologies.
01. About
A data-driven AI student with builder energy.
The portfolio keeps both sides visible: the technical work behind machine learning systems, and the community leadership that turns knowledge into momentum.
Hello! I'm Abdelrhman Al Ghonimi (عبدالرحمن الغنيمي), a data-driven student with a deep interest in artificial intelligence and machine learning. My journey in technology started with curiosity about how machines learn, and grew into a passion for building intelligent, predictive systems.
I am currently pursuing a Bachelor of Science in Artificial Intelligence at New Mansoura University (جامعة المنصورة الجديدة), Egypt. I dive into machine learning algorithms, complex data structures, databases, data analysis, and intuitive visualizations.
As a Data Scientist, ML Engineer, Data Analyst, and Microsoft Learn Student Ambassador, I focus on solving real-world problems with data and sharing practical AI knowledge with students.
FocusAI, Data Science, ML Engineering
LocationMansoura, Egypt
DegreeBSc in Artificial Intelligence
UniversityNew Mansoura University
Open toData Science, Data Analysis, and ML Engineering roles
Machine Learning
Classification, model evaluation, feature engineering, and hyperparameter tuning.
Data Analytics
EDA, decision-focused reporting, Power BI thinking, and stakeholder-ready insights.
Computer Vision
Satellite imagery, smart image recognition, and deep learning experiments.
Community Leadership
Workshops, student communities, and Microsoft Learn Student Ambassador initiatives.
02. Experience
Experience, education, and leadership in one track.
Each entry highlights the concrete value: models built, communities supported, technologies promoted, and learning shipped into practice.
Professional Experience
Microsoft Learn Student Ambassador
- Present
- Selected as a Microsoft Learn Student Ambassador.
- Empower students through technical events, workshops, and community initiatives.
- Promote Microsoft AI, Azure, GitHub, Copilot, and developer technologies.
- Collaborate with Microsoft Learn Student Ambassador communities worldwide.
- Organize educational activities that help students build practical technical skills.
AI & Data Science Intern
Creativa Innovation Hub
- | Mansoura, Egypt
- Developed an ML-based diagnostic system analyzing 500+ medical records.
- Trained Decision Tree and Random Forest models achieving up to 92% accuracy.
- Implemented a PyQt5 interface with SQLite backend for model interaction and demonstration.
Data Analytics Freelance Trainee
ITIDA & EYouth ITIDA Gigs Program
- | Remote
- Completed intensive training on client-ready analytics solutions and freelance workflows.
- Practiced requirement analysis, stakeholder communication, and project scoping.
Machine Learning Trainee
Genius Technology Center (GTC)
- | Mansoura, Egypt
- Completed 60+ hours of hands-on machine learning training.
- Contributed to satellite imagery land classification improving prediction performance.
Education & Leadership
Bachelor of Science in Artificial Intelligence
New Mansoura University
-
- Relevant coursework: Machine Learning, Data Analysis, Algorithms, Databases, and Data Structures.
Microsoft Student Club Leadership
- Lead student initiatives that turn Microsoft AI, Azure, GitHub, and Copilot concepts into practical peer learning.
Community Lead @ RavensHub
RavensHub Tech - Learn together. Build together.
- Lead a student-driven learning community connecting academic study with real technical skills in Data Science and AI.
- Visit RavensHub website
- Join RavensHub on WhatsApp
Data Science Course Organizer & Instructor
- Delivered workshops covering Python and Machine Learning fundamentals to peers.
President
Microsoft Student Club, New Mansoura University
- Present
- Leading the club's student initiatives, workshops, and technical learning activities.
Vice President
Microsoft Student Club, New Mansoura University
-
- Supported community operations, event planning, and student engagement before transitioning into the president role.
Vice Head of Entrepreneurs Training
Rally NMU
03. Skills
Technical stack mapped to actual work.
The stack is grouped by how it appears in projects: programming, model building, analytics, databases, and community delivery.
Programming
Machine Learning
Data & Visualization
Databases & Tools
Community & Leadership
04. Projects
Featured project lab.
Projects are presented by outcome first, then method and stack, so recruiters and collaborators can scan impact quickly.
Smart Diagnosis System
AI-based healthcare diagnostic prototype using supervised ML models to support medical decision-making.
92% accuracy500+ records
Land Type Classification
Processed Sentinel-2 satellite imagery and improved classification performance through PCA and tuning.
F1 0.89Satellite imagery
Hotel Bookings Prediction
End-to-end ML pipeline that predicts hotel cancellations from booking behavior and structured records.
30K+ records85% accuracy
Diabetes Prediction Model
Classification model predicting diabetes risk based on medical and lifestyle data.
88% accuracyClassification
Smart Vision
Computer vision project designed for smart image recognition and processing tasks using deep learning.
Deep learningImage recognition
Titanic Data Analysis
Exploratory data analysis on the Titanic dataset to inspect survival probabilities using statistical methods.
EDAVisualization
05. Certifications
Verified learning across AI, analytics, and leadership.
A focused record of practical training in machine learning, data analytics, SQL, Python, career readiness, and Microsoft student leadership.