Hi, my name is

Rana Nasser Mohamed.

I'm a Computer Science student at Ain Shams University with a passion for Artificial Intelligence, Data Engineering, and Physics. I'm focused on building innovative solutions that leverage data to create impact.

01. About Me

Hello! I'm Rana, a computer science student deeply fascinated by the intersection of technology and science. My journey began at Ain Shams University, where I developed a strong foundation in software engineering and discovered my passion for artificial intelligence.

I've had the privilege of interning at leading tech institutions like ITI and Ejada, where I've worked on real-world projects involving machine learning models and large-scale data pipelines. I'm also passionate about sharing knowledge, which led me to become an AI and ML instructor for student organizations.

Here are a few technologies I've been working with recently:

  • ▹Python & TensorFlow
  • ▹SQL & ETL Pipelines
  • ▹Scikit-learn
  • ▹Informatica PowerCenter
  • ▹C++ & Java
  • ▹Git & GitHub
Rana Nasser Mohamed

02. Where I've Worked

Machine Learning Instructor @ SupportASU

Oct 2024 - Present

Delivered ML sessions to students, explaining core concepts like regression and classification. Helped them apply algorithms using real-world datasets and evaluate model performance.

Artificial Intelligence Intern @ ITI

Jul 2024 - Aug 2024

Trained on Python, NumPy, Pandas, Machine Learning, and Deep Learning frameworks. Applied AI models to real datasets using scikit-learn and TensorFlow to generate practical insights.

Data Engineering Intern @ Ejada

Jul 2025 - Aug 2025

Worked with databases, data warehouses, and ETL pipelines. Utilized tools like Informatica for data integration to ensure data integrity in complex banking analytics systems.

AI Instructor @ RoboTech

Oct 2023 - May 2024

Taught fundamentals of AI and machine learning to fellow students. Led hands-on projects that integrated AI models with IoT devices, fostering teamwork and practical application.

03. Things I've Built

🏆 2nd Place Award

Guest Satisfaction Prediction

Built ML models to predict Airbnb guest satisfaction with 80% accuracy using regression, classification, and NLP for sentiment analysis.

Python Scikit-learn TensorFlow NLTK
Internship Project

Comprehensive Banking Analytics

Developed robust ETL pipelines to analyze transactions, loans, and investments, delivering accurate financial reports for a banking system.

Oracle SQL Informatica ETL Data Warehousing
Competition Project

AI-Based EEG Signal Classification

Designed and trained CNN models to classify EEG signals for Brain-Computer Interfaces (BCI), achieving 70% accuracy on noisy biosignal data.

CNN Signal Processing BCI
🏆 3rd Place Award

Forest Fire Detection System

Integrated AI, IoT, and satellite tech for a hackathon project. Contributed to smoke/fire detection models and developed a CubeSat sensor prototype.

AI IoT CNN Logistic Regression
🏆 6th Place / Full Mark

Operating System (FOS)

Developed a small educational OS in C, implementing process management, memory/CPU management, and shared resources in a simulated environment.

C Bochs OS Concepts
Academic Project

Map Routing "GPS"

Implemented shortest path algorithms like Super Source Dijkstra and A* to build a system for calculating optimal routes on a map, focusing on performance.

C++ Algorithms Data Structures

04. What's Next?

Get In Touch

I'm currently seeking new opportunities to apply my skills in AI and Data Engineering. Whether you have a question, a project idea, or just want to connect, my inbox is always open. I'll get back to you as soon as I can!

Say Hello

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