Joseph I.

Key Skills

Software

Other

Top Subject Matter

Customer complaints analysis and predictive analytics for sales/support

Financial data entry and documentation

Classification

Top Data Types

Text

Document

Image

Top Task Types

Data Collection

Classification

Text Generation

Freelancer Overview

I have experience working with structured data analysis, annotation accuracy, and quality-focused evaluation tasks through my academic background in Mathematics and Data Science, as well as practical exposure to AI-related workflows. My training has strengthened my ability to handle large datasets, identify inconsistencies, follow detailed guidelines, and maintain high accuracy in data processing and review tasks. I am also skilled in interpreting structured and unstructured information, performing logical analysis, and documenting findings clearly and consistently. My coursework and certifications in data science and quantum computing further developed my analytical thinking, attention to detail, and ability to work with technical systems and data-driven environments. In addition, I have experience with data organization, transcription-style tasks, spreadsheet handling, and evidence-based evaluation, which are essential for AI training data and labeling projects. I am comfortable working with annotation guidelines, reviewing outputs for quality assurance, and maintaining consistency across repetitive tasks without compromising accuracy. My strong written communication skills, problem-solving ability, and mathematical background allow me to quickly understand complex instructions and contribute effectively to AI model training, data validation, and content evaluation projects.

Labeling Experience

Junior Data Analyst, C&C Akusinawaa Global Investment LTD

Don't discloseTextData Collection

In this role, you conducted research on specific customer complaints and used data to support business decision-making. You collected and analyzed sales invoice data and applied predictive analytics to improve customer relationship outcomes. The work primarily involved organizing and interpreting textual transaction and complaint records for analytics and downstream insights. • Collected and analyzed sales invoice records. • Researched and categorized complaint information. • Applied predictive analytics to improve customer relationship handling. • Supported business decisions using processed datasets.

2020 - Present

AI Text Classification and Quality Annotation Project

TextClassification

Worked on a large-scale AI training data project focused on text classification and quality annotation. The scope of the project involved reviewing and labeling text data based on predefined guidelines to improve AI model accuracy and response quality. Tasks included categorizing text content, identifying inconsistencies, evaluating relevance and correctness, and flagging low-quality or misleading outputs. The project involved handling high volumes of text samples daily while maintaining consistency and accuracy across annotations. Quality measures included strict adherence to annotation guidelines, double-checking labeled outputs, consistency reviews, and regular quality assurance checks to ensure high labeling accuracy and reliable training data for AI model development.

2025 - 2025

NYSC (Independent National Electoral Commission) - Account and Finance Department

TextData Collection

During NYSC service in the Account and Finance Department, you documented financial transactions by entering account information. The task involved structured transcription and data entry of financial records into the organization’s accounting workflow. This supported accurate recordkeeping for later reconciliation and reporting needs. • Entered account information to document financial transactions. • Handled structured financial record data. • Maintained documentation for departmental accounting processes. • Supported administrative flow for transaction records.

2018 - 2019

Education

Work History