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Aymen Boumezbeur

Aymen Boumezbeur

Data Scientist - Media & Technology

ALGERIA flag
EL-MILIA, Algeria
$1.00/hrIntermediateAws SagemakerAppenClickworker

Key Skills

Software

AWS SageMakerAWS SageMaker
AppenAppen
ClickworkerClickworker
Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
Computer Code ProgrammingComputer Code Programming
DocumentDocument
ImageImage
TextText

Top Label Types

Audio Recording
Computer Programming Coding
Prompt Response Writing SFT
Question Answering
Text Generation
Tracking

Freelancer Overview

I have a strong background in data science and IT development, with hands-on experience in data management, Python, R, and SQL. My academic training in computer and information science, combined with roles where I led teams and managed projects, has given me a solid foundation in data annotation, quality assurance, and process optimization. I am skilled in analytical problem-solving and have worked on projects that required careful attention to data accuracy and consistency, such as streamlining codebases and implementing testing protocols. My experience also includes content creation and media management, which has strengthened my ability to handle diverse data types, making me well-suited for data labeling and AI training data roles. I am comfortable working with cross-functional teams, managing large datasets, and ensuring data integrity for machine learning and AI applications.

IntermediateEnglishFrenchArabic

Labeling Experience

unirise ai prediction platform

OtherComputer Code ProgrammingQuestion AnsweringComputer Programming Coding
AI-based specialty prediction platform for UNIRISE EL-MILIA that helps Baccalaureate students choose their university majors based on their preferences. Key things you implemented Frontend: Questionnaire / answers interface (website). Backend: Python (FastAPI). AI Engine: Gemini API integration. Logic: Predicts suitable university specialties from user answers. Privacy: No user registration or data storage. Goal: Orientation guidance for students during/after Bac

AI-based specialty prediction platform for UNIRISE EL-MILIA that helps Baccalaureate students choose their university majors based on their preferences. Key things you implemented Frontend: Questionnaire / answers interface (website). Backend: Python (FastAPI). AI Engine: Gemini API integration. Logic: Predicts suitable university specialties from user answers. Privacy: No user registration or data storage. Goal: Orientation guidance for students during/after Bac

2024

Education

J

Jijel University

Bachelor of Science, Computer and Information Science

Bachelor of Science
2022 - 2025

Work History

F

founder

founder

jijel
2025 - Present
U

Unirise

IT Developer

El Milia
2024 - Present