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Mohamed Saied

Mohamed Saied

Junior Data Scientist | Machine Learning Engineer

Egypt flagCairo, Egypt
$10.00/hrEntry LevelAppenMicro1Labelbox

Key Skills

Software

AppenAppen
Micro1
LabelboxLabelbox
RemotasksRemotasks
Scale AIScale AI

Top Subject Matter

Healthcare – Medical Records & Patient Data
Finance – Risk Analysis & Fraud Detection
Cybersecurity

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

ClassificationClassification

Freelancer Overview

Data Analysis & Machine Learning Trainee. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Science, Benha University (2025). AI-training focus includes data types such as Text and labeling workflows including Classification.

Entry LevelEnglish

Labeling Experience

Data Analysis & Machine Learning Trainee

TextClassification
As a Data Analysis & Machine Learning Trainee, I participated in a technology training program supported by the government. My responsibilities included building machine learning models and performing exploratory data analysis using real-world datasets. This role required proficiency in Python and contemporary data science tools. • Developed dashboards and data visualizations to effectively communicate analysis results. • Built and evaluated machine learning models including clustering, regression, and classification. • Conducted data cleaning, preprocessing, and exploratory data analysis (EDA). • Worked extensively with Python libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.

As a Data Analysis & Machine Learning Trainee, I participated in a technology training program supported by the government. My responsibilities included building machine learning models and performing exploratory data analysis using real-world datasets. This role required proficiency in Python and contemporary data science tools. • Developed dashboards and data visualizations to effectively communicate analysis results. • Built and evaluated machine learning models including clustering, regression, and classification. • Conducted data cleaning, preprocessing, and exploratory data analysis (EDA). • Worked extensively with Python libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.

2025 - Present

Education

B

Benha University

Bachelor of Science, Computer Science and Artificial Intelligence

Bachelor of Science
2025

Work History

C

Creativa Innovation Hub

Data Analysis & Machine Learning Trainee

Cairo
2025 - Present