Fred Audu

Key Skills

Software

Label Studio

Top Subject Matter

Compliance/finance Domain Expertise

Healthcare/e-commerce/finance Domain Expertise

Finance/revenue Domain Expertise

Top Data Types

Text

Document

Image

Top Task Types

Classification

Entity (NER) Classification

Freelancer Overview

Compliance Analyst (AI-Aligned Data Structuring). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and Excel. Education includes Bachelor of Science in Education, Federal University of Agriculture, Makurdi (2016). AI-training focus includes data types such as Text and Document and labeling workflows including Classification and Entity (NER) Classification.

Labeling Experience

Compliance Analyst (AI-Aligned Data Structuring)

Label StudioTextClassification

I labeled and structured compliance datasets for automation systems by following strict annotation guidelines. My tasks included text and tabular annotation to identify risks, anomalies, and compliance patterns. Quality assurance (QA) reviews were performed to ensure high accuracy and consistency across datasets. • Applied detailed annotation for compliance anomaly detection • Adhered to labeling guidelines to minimize inconsistency • Conducted systematic QA and error reduction • Supported rule-based AI model workflows

I labeled and structured compliance datasets for automation systems by following strict annotation guidelines. My tasks included text and tabular annotation to identify risks, anomalies, and compliance patterns. Quality assurance (QA) reviews were performed to ensure high accuracy and consistency across datasets. • Applied detailed annotation for compliance anomaly detection • Adhered to labeling guidelines to minimize inconsistency • Conducted systematic QA and error reduction • Supported rule-based AI model workflows

2024 - 2026

Data Analyst / AI Annotation Specialist

Label StudioTextEntity Ner Classification

I completed a wide range of annotation tasks, such as classification, sentiment analysis, entity extraction, and content tagging. The role involved preparing and cleaning raw datasets and working closely with ML teams to ensure annotation quality. I evaluated model outputs to provide feedback for improving AI training. • Labeled healthcare, e-commerce, and finance datasets • Refined guidelines collaboratively with ML teams • Conducted ambiguity resolution for complex annotations • Provided structured feedback for model quality assurance

I completed a wide range of annotation tasks, such as classification, sentiment analysis, entity extraction, and content tagging. The role involved preparing and cleaning raw datasets and working closely with ML teams to ensure annotation quality. I evaluated model outputs to provide feedback for improving AI training. • Labeled healthcare, e-commerce, and finance datasets • Refined guidelines collaboratively with ML teams • Conducted ambiguity resolution for complex annotations • Provided structured feedback for model quality assurance

2023 - 2024

Revenue Management Analyst (Dataset Preparation)

DocumentClassification

I prepared and labeled revenue datasets for forecasting models, ensuring high accuracy and consistency. My responsibilities included creating taxonomies for categorization and conducting cleaning and validation for ML dataset readiness. Rigorous consistency checks were performed to prevent data errors in model training. • Developed taxonomies for revenue data • Labeled data for use in financial forecasting • Performed sequence of data cleaning and validation • Ensured ML dataset quality through review

I prepared and labeled revenue datasets for forecasting models, ensuring high accuracy and consistency. My responsibilities included creating taxonomies for categorization and conducting cleaning and validation for ML dataset readiness. Rigorous consistency checks were performed to prevent data errors in model training. • Developed taxonomies for revenue data • Labeled data for use in financial forecasting • Performed sequence of data cleaning and validation • Ensured ML dataset quality through review

2019 - 2023

Web Analyst (Behavioral Data Annotation)

DocumentClassification

I labeled and categorized web analytics data focusing on website performance and user behavior. Annotation of traffic patterns supported predictive modeling and optimization algorithms. The goal was to improve dataset quality for conversion-rate and behavioral analysis. • Conducted detailed behavioral data annotation • Supported predictive modeling workflows • Enhanced quality for analytics and optimization • Ensured reliable labels for conversion analysis

I labeled and categorized web analytics data focusing on website performance and user behavior. Annotation of traffic patterns supported predictive modeling and optimization algorithms. The goal was to improve dataset quality for conversion-rate and behavioral analysis. • Conducted detailed behavioral data annotation • Supported predictive modeling workflows • Enhanced quality for analytics and optimization • Ensured reliable labels for conversion analysis

2018 - 2019

Education

Work History