Adedayo Bello

Key Skills

Software

Appen

Scale AI

CloudFactory

Top Subject Matter

No subject matter listed

Top Data Types

Text

Audio

Top Label Types

Classification

Evaluation Rating

Bounding Box

Data Collection

Audio Recording

Freelancer Overview

I am a microbiology graduate with hands-on experience in data collection, annotation, and interpretation within laboratory and research settings. My background includes conducting microbial diagnostics, performing biochemical assays, and generating high-quality datasets for antimicrobial resistance studies, pharmaceutical quality control, and soil microbiology research. I am skilled at following strict protocols, ensuring data accuracy, and collaborating in multidisciplinary teams to support research outcomes. My experience managing laboratory groups, presenting scientific findings, and participating in bioinformatics training has equipped me with a strong attention to detail and a deep understanding of the importance of precise data labeling for AI and scientific research, especially in the medical and life sciences domains.

Labeling Experience

Structured Data Labeling & Quality Validation for AI Model Training

CloudfactoryAudioBounding BoxClassification

Executed a rule based data labeling and validation project involving structured datasets for machine learning preprocessing. The project focused on classification accuracy, dataset cleaning, logical categorization, and quality assurance, ensuring high-quality training data suitable for AI model development.

Executed a rule based data labeling and validation project involving structured datasets for machine learning preprocessing. The project focused on classification accuracy, dataset cleaning, logical categorization, and quality assurance, ensuring high-quality training data suitable for AI model development.

2024 - 2025

Data Handling & Analytics Projects

AppenTextClassification

Cleaned and structured raw text datasets to enhance consistency and usability for downstream AI tasks. Built grading and classification systems to support model evaluation and data annotation accuracy. Performed rule-based categorization, deduplication, and dataset validation using Excel and SQL under strict guidelines. • Implemented logical classification standards across large datasets. • Applied quality checks to maintain high dataset reliability. • Leveraged advanced Excel functions and SQL queries for annotation. • Ensured strict SOP and guideline compliance throughout all tasks.

Cleaned and structured raw text datasets to enhance consistency and usability for downstream AI tasks. Built grading and classification systems to support model evaluation and data annotation accuracy. Performed rule-based categorization, deduplication, and dataset validation using Excel and SQL under strict guidelines. • Implemented logical classification standards across large datasets. • Applied quality checks to maintain high dataset reliability. • Leveraged advanced Excel functions and SQL queries for annotation. • Ensured strict SOP and guideline compliance throughout all tasks.

2024

Quality Control Operations

Scale AITextEvaluation Rating

Reviewed and verified the accuracy of labeled data within quality control operations, supporting AI model reliability. Identified inconsistencies and corrected errors within structured data annotation systems. Maintained thorough documentation and compliance with labeling processes. • Systematically validated annotated data for accuracy. • Executed consistency checks across datasets. • Supported documentation for audit trails of labeled data. • Ensured compliance with operational guidelines in labeling workflows.

Reviewed and verified the accuracy of labeled data within quality control operations, supporting AI model reliability. Identified inconsistencies and corrected errors within structured data annotation systems. Maintained thorough documentation and compliance with labeling processes. • Systematically validated annotated data for accuracy. • Executed consistency checks across datasets. • Supported documentation for audit trails of labeled data. • Ensured compliance with operational guidelines in labeling workflows.

2025 - 2025

Education

Work History