Tsaku G.

Key Skills

Software

Appen

Other

Labelbox

Top Subject Matter

AI dataset quality assurance for ML/NLP applications

Machine learning dataset annotation and QA

AI data preparation and model evaluation support

Top Data Types

Text

Image

Document

Top Task Types

Data Collection

Classification

Freelancer Overview

Data Annotator, Appen (2024). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Other. Education includes Master of Science, University of Ibadan (2022) and Bachelor of Science, University of Jos (2017). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Data Science Intern, Nebiant Analytics (2025)

OtherText

Performed exploratory data analysis and preprocessing steps to prepare datasets for machine learning applications, supporting subsequent model development and validation. Applied statistical techniques and machine learning concepts to extract insights for predictive modeling projects. Collaborated on data-driven efforts involving model development, validation, and performance assessment. • Cleaned and transformed structured and unstructured datasets using Python • Prepared data to support downstream ML training workflows • Participated in validation and performance assessment activities

2025 - 2025

Data Annotator, Appen (2024)

AppenText

Annotated, classified, and validated large datasets according to detailed project guidelines to support machine learning and AI model development. Conducted quality assurance reviews to ensure annotation consistency, accuracy, and compliance with project standards. Evaluated text, image, and content datasets to improve training data quality for AI and natural language processing applications. • Applied critical thinking to identify annotation discrepancies • Resolved data quality issues in alignment with protocol requirements • Maintained accuracy while following strict deadlines

2024 - 2024

Graduate Research Assistant, PiLAF (2021)

OtherTextData Collection

Collected, validated, and analyzed qualitative and quantitative datasets to support evidence-based policy and agricultural development research. Managed large volumes of data while maintaining accuracy and completeness through systematic review. Applied quality assurance procedures to ensure data reliability and research integrity for downstream analysis outputs. • Conducted data collection and validation activities • Prepared analytical reports based on systematic data review • Ensured completeness and accuracy through QA processes

2021 - 2021

Education

Work History