Hamza EL-Maghraby

Data Scientist

https://talent.gravityer.com/hamza-el-maghraby

software engineer

EgyptMember since June 29, 2026

Key Strengths

Demonstrated interest in data science through the 'Rocket-First-Stage-Recovery-Predictor' project.
Exposure to Python and Jupyter Notebook, relevant for data science roles.
Diverse personal projects showcasing initiative and self-learning across various technologies.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. The diversity of projects (mobile, web, scripting, data science) suggests adaptability and a broad interest in technology. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

BashBase

January 25, 2025 – January 25, 2025

Simple DB engine using Bash Script

View Project

Car-Rental-Mobile-App

March 20, 2024 – March 20, 2024

Car-Rental-Mobile-App — GitHub repository

View Project

Rocket-First-Stage-Recovery-Predictor

February 21, 2024 – March 20, 2024

Rocket-First-Stage-Recovery-Predictor — GitHub repository

View Project

VendX-Vending-Machine-API

February 7, 2024 – January 25, 2025

VendX-Vending-Machine-API — GitHub repository

View Project

-Product-Manager-Web-App

September 22, 2023 – March 20, 2024

-Product-Manager-Web-App — GitHub repository

View Project

drop-off

July 23, 2021 – July 23, 2021

Drop off service for ZHAM mobile application

View Project

Ride

July 14, 2021 – July 22, 2021

Ride — GitHub repository

View Project

Car-Share-App

May 2, 2021 – July 22, 2021

Car-Share-App — GitHub repository

View Project

Key Strengths

Demonstrated interest in data science through the 'Rocket-First-Stage-Recovery-Predictor' project.
Exposure to Python and Jupyter Notebook, relevant for data science roles.
Diverse personal projects showcasing initiative and self-learning across various technologies.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Hamza EL-Maghraby

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit