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Abd Ullah

Data Annotation Specialist — Sentiment Labeling Project

Pakistan flagLahore, Pakistan
Entry LevelAppen

Key Skills

Software

AppenAppen

Top Subject Matter

E-Commerce Sentiment Analysis
Social Media Algorithm Bias Research

Top Data Types

TextText
AudioAudio

Top Task Types

Classification
Transcription

Freelancer Overview

Data Annotation Specialist — Sentiment Labeling Project. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Lahore Business School (2024). AI-training focus includes data types such as Text and labeling workflows including Classification.

Entry LevelEnglish

Labeling Experience

Data Annotator — Social Media Algorithm Research Thesis

TextClassification
I annotated and categorized multilingual social media content for a research thesis on algorithmic bias. My labeling included identifying languages and topic categories in YouTube video comments spanning Urdu, English, and Pashto. I utilized custom Python scripts for automating classification and performed manual verification for accuracy. • Labeled content type and language on YouTube data • Built scripts for semi-automated data classification and annotation • Ensured high quality through manual review and cross-validation • Focused on algorithmic fairness as the core research outcome

I annotated and categorized multilingual social media content for a research thesis on algorithmic bias. My labeling included identifying languages and topic categories in YouTube video comments spanning Urdu, English, and Pashto. I utilized custom Python scripts for automating classification and performed manual verification for accuracy. • Labeled content type and language on YouTube data • Built scripts for semi-automated data classification and annotation • Ensured high quality through manual review and cross-validation • Focused on algorithmic fairness as the core research outcome

2024 - Present

Data Annotation Specialist — Sentiment Labeling Project

TextClassification
I collected and manually labeled over 200,000 e-commerce app reviews to conduct sentiment analysis. My work focused on accurately classifying text data into sentiment categories and ensuring high-quality annotations. This experience strengthened both my NLP skills and my attention to detail in annotation tasks. • Labeled app review text as Positive, Negative, or Neutral • Used Python and NLP libraries for tokenization and preprocessing • Managed large-scale data and ensured consistent annotation methodology • Published project pipeline on GitHub demonstrating data quality practices

I collected and manually labeled over 200,000 e-commerce app reviews to conduct sentiment analysis. My work focused on accurately classifying text data into sentiment categories and ensuring high-quality annotations. This experience strengthened both my NLP skills and my attention to detail in annotation tasks. • Labeled app review text as Positive, Negative, or Neutral • Used Python and NLP libraries for tokenization and preprocessing • Managed large-scale data and ensured consistent annotation methodology • Published project pipeline on GitHub demonstrating data quality practices

2023 - 2023

Education

L

Lahore Business School

Bachelor of Science, Business Analytics

Bachelor of Science
2024

Work History

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