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Mohamed Gamal

Mohamed Gamal

Data Analyst | Expert in Cleaning, Visualizing & Interpreting Data

Egypt flagminya, Egypt
$15.00/hrIntermediateClickworkerData Annotation TechOther

Key Skills

Software

ClickworkerClickworker
Data Annotation TechData Annotation Tech
Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
TextText

Top Task Types

Classification
Data Collection
Text Summarization

Freelancer Overview

am a detail-oriented Data Labeling Specialist with hands-on experience supporting AI and machine learning projects through accurate data annotation and quality control. My work spans image, text, and audio labeling tasks, ensuring clean, well-structured datasets that meet model training requirements. I am proficient in tools such as Labelbox, CVAT, and Amazon SageMaker Ground Truth, with a strong understanding of annotation guidelines, taxonomy consistency, and edge-case handling. Trained in data analysis through programs at NTI and رواد مصر الرقمية, I also bring strong technical skills in Python, Excel, and Power BI. This background enhances my ability to not only label data but also evaluate its quality, spot inconsistencies, and contribute to dataset improvement strategies. My commitment to precision and team collaboration makes me a reliable contributor to scalable AI development workflows.

IntermediateArabicEnglish

Labeling Experience

green wizards

OtherImageEntity Ner Classification
The Green Wizards project focused on classifying educational image data related to mathematical concepts. As part of the data labeling team, I was responsible for accurately tagging visual content—such as equations, geometric shapes, graphs, and math-related diagrams—according to predefined categories. This classification work supported the development of AI models aimed at enhancing math-learning platforms. The project required close attention to detail, a solid understanding of basic to intermediate mathematics, and adherence to strict labeling guidelines to ensure high-quality, consistent annotations. Using image labeling tools, I contributed to the creation of a clean and structured dataset optimized for training classification algorithms in educational AI applications.

The Green Wizards project focused on classifying educational image data related to mathematical concepts. As part of the data labeling team, I was responsible for accurately tagging visual content—such as equations, geometric shapes, graphs, and math-related diagrams—according to predefined categories. This classification work supported the development of AI models aimed at enhancing math-learning platforms. The project required close attention to detail, a solid understanding of basic to intermediate mathematics, and adherence to strict labeling guidelines to ensure high-quality, consistent annotations. Using image labeling tools, I contributed to the creation of a clean and structured dataset optimized for training classification algorithms in educational AI applications.

2024 - 2024

Education

M

Minia University

Bachelor of Engineering, Automotive Mechanical Engineering

Bachelor of Engineering
2022

Work History

F

freelancer

data analyst

minya
2024 - Present