Mennatoallah W.

Key Skills

Software

Other

Appen

Clickworker

Mercor

Top Subject Matter

Artificial Intelligence & Machine Learning

Data Analytics & Infrastructure (Foundational)

Cloud & Data Engineering Fundamentals

Top Data Types

Computer Code Programming

Text

Document

Top Task Types

Data Collection

Object Detection

Text Generation

Question Answering

Text Summarization

Fine-tuning

Freelancer Overview

Undergraduate student in Data Science and Artificial Intelligence at Badr University in Cairo, with hands-on experience in data handling, processing, and pipeline development through the Microsoft DEPI Data Engineering Track. Skilled in Python (data manipulation, cleaning, and visualization), SQL, NoSQL (MongoDB), web scraping, and Microsoft Excel, with practical exposure to building data pipelines on Microsoft Azure. Completed IBM's Professional Certificate in Democratizing AI Models at Scale, gaining foundational knowledge in AI model deployment, accessibility, and scalability. Experienced in working with structured and unstructured datasets across multiple formats and platforms, with a strong understanding of data quality, transformation, and preparation workflows — core competencies directly applicable to data labeling and AI training data tasks. Backed by a solid academic foundation combining technical subjects such as Statistics, Programming, Database Management Systems, and Introduction to AI, alongside business disciplines including Finance, Management Information Systems, and Marketing, enabling a well-rounded approach to data-driven problem solving.

Labeling Experience

Microsoft Data Engineering Track — DEPI Initiative 2025–Present (Data Engineering Trainee)

Data Collection

Built ETL data pipelines as a Microsoft Data Engineering trainee, which is a prerequisite to preparing labeled and structured datasets for AI workflows. Implemented end-to-end ingestion, transformation, and loading in Microsoft Azure, including data validation and reliable pipeline behaviors. Used Python (Pandas/Matplotlib) for data handling, cleaning, and visualization to support analysis-ready outputs. • Azure ETL pipeline development • Python-based data cleaning/visualization • Web scraping to extract and structure real-world data • SQL querying across structured and unstructured (MongoDB) datasets

2025 - Present

Global Brands Group — IT & Technology Fundamentals Certification (2024)

OtherData Collection

Completed IT and technology fundamentals training with emphasis on cloud computing and data engineering concepts that can inform dataset preparation workflows. Covered cybersecurity and IT infrastructure fundamentals relevant to managing and securing data used in AI development. The training also included practice configurations for cloud services that support data collection and processing environments. • Cloud computing fundamentals (AWS & Azure) • Cybersecurity basics • Data engineering and IT infrastructure topics • Configured/tested basic cloud services

2024 - 2024

IBM Professional Certificate Program 2024 — AI & Machine Learning (Online)

Other

Completed AI & Machine Learning certification covering concepts relevant to building and deploying AI pipelines rather than performing human data labeling. Focused on analyzing real-world AI scalability frameworks and applying ethical AI principles for enterprise deployment scenarios. This training supports downstream work on preparing and governing AI datasets and models for operational use. • AI deployment pipeline concepts • Model governance and ethical AI • Enterprise scalability framework analysis • Online certificate program

2024 - 2024

Education

Work History