Available for opportunities

Hamza
Mahran

Machine Learning Engineer

Computer Science student at Alexandria National University, specializing in intelligent systems. Building AI-powered applications at the intersection of machine learning, computer vision, and data science.

94% Face Recognition Accuracy
98.5% Big Data Cert Score
4+ Internships
3+ ML Projects
ML
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01 — About

Passionate about
intelligent systems

I'm a Computer Science student in the Intelligent Systems track at Alexandria National University, expected to graduate in 2027. My work spans machine learning, computer vision, and full-stack development — always with a focus on building things that actually work in the real world.

I've completed multiple internships and training programs, working with real-world datasets and earning certifications from AWS, NVIDIA, and Huawei. I compete in algorithmic programming contests and continuously push myself to build more meaningful projects.

Currently training in the Digital Egypt Pioneers Initiative (DEPI) ML program while pursuing my degree.

Languages

Python Java C++ JavaScript SQL PHP HTML/CSS R

AI & Machine Learning

TensorFlow Scikit-learn Computer Vision NLP Deep Learning PCA / LDA Neural Networks

Tools & Platforms

Git / GitHub AWS MySQL Google Colab Flutter XAMPP
02 — Experience

Where I've
worked & learned

Dec 2025 – Present

DEPI

Machine Learning Trainee

Implementing ML models using Python, NumPy, Pandas, and Scikit-learn. Working with real-world datasets, applying preprocessing and feature engineering. Building and evaluating Linear Regression, Decision Trees, and KNN models.

Aug – Sep 2025

NTI-Huawei ETA

Big Data Associate

Processed and analyzed datasets exceeding 500,000+ records using Huawei's HCIA Big Data ecosystem. Implemented distributed computing frameworks. Completed HCIA-Big Data certification with a 98.5% final score.

Jul – Aug 2025

NTI

Machine Learning Intern

Completed an advanced project-based ML training program. Built and evaluated models for classification, regression, and clustering. Applied data preprocessing, feature engineering, and translated business problems into ML solutions.

Jul 2025

Ezz Steel

IT Intern

Provided technical support for hardware, software, and network issues. Assisted with troubleshooting IT incidents, system maintenance, and monitoring network performance across the organization.

03 — Projects

Things I've
built

01

Hybrid Recommendation System

Built a recommendation engine serving 1,000+ movie and restaurant suggestions using a hybrid TF-IDF and collaborative filtering approach.

Python NLP TF-IDF Scikit-learn
78% precision, 82% recall 35% cold-start reduction

02

Face Recognition System

Developed a face recognition system on the ORL dataset using PCA for dimensionality reduction and a tuned K-NN classifier.

Python OpenCV PCA K-NN
94% accuracy on 400 images 65% faster processing via PCA

03

Car Rental System

Full-stack web application managing 100+ vehicles with secure MySQL database, user authentication, and multi-branch support.

HTML/CSS JavaScript PHP MySQL
50+ concurrent users 100% data integrity enforced
04 — Certifications

Credentials &
achievements

AWS Cloud Foundations

Amazon Web Services

📊

HCIA-Big Data

Huawei — 98.5% Score

🧠

Introduction to Deep Learning

NVIDIA

🏆

ECPC Participant

Egyptian Collegiate Programming Contest — 2024

Let's work
together