Farouk A.

Key Skills

Software

Clickworker

Appen

Data Annotation Tech

Mercor

Micro1

OneForma

Mindrift

Toloka

Telus

Top Subject Matter

AI training data preparation

data validation

and quality assurance for structured/unstructured datasets

Top Data Types

Text

Document

Image

Top Task Types

Entity (NER) Classification

Evaluation/Rating

Transcription

Data Collection

Text Summarization

Text Generation

Classification

Point/Key Point

Question Answering

Fine-tuning

Freelancer Overview

Data Labeling & Validation Analyst | Freelance & Independent Projects. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Python (Pandas, NumPy), and SQL. Education includes Bachelor of Technology, Olusegun Agagu University of Science & Technology (2022) and Certification in Business Intelligence and Data Analytics, TSA Academy (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

Data Labeling & Validation Analyst | Freelance & Independent Projects

Text

Performed large-scale data collection, cleaning, and annotation for structured and unstructured datasets to support downstream AI and analytics pipelines. Applied detailed validation frameworks and quality rubrics to detect errors, nulls, duplicates, and mislabeled entries, maintaining approximately 99% labeling accuracy. Documented labeling processes, guidelines, and quality standards to ensure reproducibility across independent projects. • Collected and annotated datasets from multiple sources while enforcing consistent annotation standards • Built automated data cleaning and preparation pipelines to reduce manual processing time by 40% • Used Python (Pandas) and SQL to categorize/classify data into structured taxonomies • Managed multiple concurrent labeling projects in a fully remote environment with timely delivery

2025 - Present

BI & Data Analytics Trainee | TSA Academy

TextEntity (NER) Classification

Validated and processed multi-source datasets using structured evaluation frameworks to ensure data quality and consistency prior to analysis and reporting. Applied classification and categorization methods to organize raw data into structured, analysis-ready formats for cross-functional teams. Identified data quality gaps and anomalies in pipeline development and implemented corrective measures to maintain annotation integrity. • Processed and validated datasets using evaluation rubrics • Organized large volumes of raw data into structured formats for downstream use • Flagged anomalies and quality gaps to protect labeling integrity • Collaborated with teams on data requirements and delivery of clean datasets

2025 - 2025

Education

Work History