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Hamad Alsaleh

Hamad Alsaleh

Data Scientist – Data Labeling and Stance Detection

Saudi Arabia flagRiyadh, Saudi Arabia
$30.00/hrExpertInternal Proprietary ToolingOtherGoogle Cloud Vertex AI

Key Skills

Software

Internal/Proprietary Tooling
Other
Google Cloud Vertex AIGoogle Cloud Vertex AI

Top Subject Matter

Health misinformation
political misinformation
product reviews

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Classification

Freelancer Overview

Data Scientist – Data Labeling and Stance Detection. Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, University of North Carolina at Charlotte (2022) and Master of Science, University of Maryland, Baltimore County (2017). AI-training focus includes data types such as Text and labeling workflows including Classification.

ExpertArabicEnglish

Labeling Experience

Data Scientist – Data Labeling and Stance Detection

TextClassification
As a Data Scientist at The University of North Carolina at Charlotte, I built supervised machine learning models based on semi-automated labeled datasets generated through a self-developed system and human-generated input. I also worked on stance detection of health and political misinformation on social media, as well as product review stance detection. My work involved both creating and labeling datasets for model training and evaluation. • Developed labeling workflows for credibility assessment and stance detection tasks. • Managed a self-developed labeling system integrating human input for dataset generation. • Labeled social media posts and product reviews for stance and credibility. • Ensured high-quality, accurate ground truth data for model training and evaluation.

As a Data Scientist at The University of North Carolina at Charlotte, I built supervised machine learning models based on semi-automated labeled datasets generated through a self-developed system and human-generated input. I also worked on stance detection of health and political misinformation on social media, as well as product review stance detection. My work involved both creating and labeling datasets for model training and evaluation. • Developed labeling workflows for credibility assessment and stance detection tasks. • Managed a self-developed labeling system integrating human input for dataset generation. • Labeled social media posts and product reviews for stance and credibility. • Ensured high-quality, accurate ground truth data for model training and evaluation.

2019 - 2022

Research Assistant – Automated Data Labeling for Scam Detection

TextClassification
During my time as a Research Assistant at University of Maryland Baltimore County, I developed a machine learning model using XGBoost to detect scammers on Craigslist utilizing automatically labeled data. The project utilized an automated labeling function with no human intervention, providing large-scale labeled datasets for training and validation. My work focused on data labeling automation to accurately distinguish fraudulent classified ads. • Designed automated data labeling functions for scam detection tasks. • Curated and validated labeled datasets for Craigslist scammer identification. • Handled large text datasets for training and testing machine learning models. • Focused on accuracy and scalability in data labeling methodologies.

During my time as a Research Assistant at University of Maryland Baltimore County, I developed a machine learning model using XGBoost to detect scammers on Craigslist utilizing automatically labeled data. The project utilized an automated labeling function with no human intervention, providing large-scale labeled datasets for training and validation. My work focused on data labeling automation to accurately distinguish fraudulent classified ads. • Designed automated data labeling functions for scam detection tasks. • Curated and validated labeled datasets for Craigslist scammer identification. • Handled large text datasets for training and testing machine learning models. • Focused on accuracy and scalability in data labeling methodologies.

2017 - 2017

Education

U

University of North Carolina at Charlotte

Doctor of Philosophy, Computing and Information Systems

Doctor of Philosophy
2019 - 2022
U

University of Maryland, Baltimore County

Master of Science, Information Systems

Master of Science
2015 - 2017

Work History

K

King Saud University

Assistant Professor

Riyadh
2022 - Present
C

Central Government

AI advisor

Riyadh
2022 - 2026