Open to opportunities

ebrahim moustafa ebrahim

@ebrahimmoustafaebrah

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Data Scientist and AI Engineer with a passion for innovative solutions.

Egypt

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What I'm looking for

I am seeking a role that fosters innovation and offers growth opportunities in AI and data science.

I am a dedicated Data Scientist and AI Engineer with a strong foundation in computer engineering, currently pursuing my Bachelor's degree at the Arab Academy for Science and Technology. My academic journey has been complemented by hands-on experience in developing innovative AI solutions, including a prototype for an Autonomous Sea Rescue Drone, which won the 'Best Team Project' award during my internship at the University of Central Lancashire.

Throughout my education, I have engaged in various projects that showcase my technical skills and creativity. For instance, I developed a web-based elective courses recommender engine that achieved a remarkable HitRate of 65%, utilizing advanced machine learning techniques. Additionally, I created an ensemble-based regression model to predict life expectancy, demonstrating my ability to analyze complex datasets and derive meaningful insights. My commitment to continuous learning is reflected in my certifications, including AWS Academy Cloud Foundations and Microsoft Azure AI Fundamentals.

Experience

Work history, roles, and key accomplishments

Project: End-to-End Image To Text

Self Employed

Built a deep learning model for image captioning using an Encoder-Decoder architecture, achieving a BLEU score of 53%. Deployed using Streamlit.

Python Deep Learning Streamlit

Data Scientist Intern

University Of Central Lancashire

Jun 2022 - Jul 2022 (1 month)

Worked within a multidisciplinary engineering team to design and develop a prototype of an Autonomous Sea Rescue Drone, integrating object detection and real-time image processing for accurate human detection in water. Awarded 'Best Team Project' for the prototype.

Python Object Detection Image Processing Team Collaboration Prototyping

Project: Elective Courses Recommender Engine

Self Employed

Developed a web-based recommendation system for university elective courses using AI techniques, achieving a HitRate of 65%. Deployed the application on AWS EC2.

Python Pandas TensorFlow Flask AWS EC2

Project: Average Life Expectancy Estimator

Self Employed

Created an ensemble regression model to predict average life expectancy using socioeconomic indicators, achieving an R score of 0.78. Visualized data using Seaborn.

Python SeaBorn XGBoost Data Analysis