Boluwatife O.

Key Skills

Software

No software listed

Top Subject Matter

Computer Vision & Image Classification – Experience working with image datasets, image labeling, classification tasks, and improving prediction accuracy for AI models.

Healthcare & Medical Data – Familiar with healthcare-related datasets such as diabetes prediction projects using machine learning models like Naive Bayes and Random Forest.

Technology & Computer Science – Background in computer science with knowledge of Python, machine learning basics, datasets, and AI model training workflows.

Top Data Types

Image

Top Task Types

Classification

Freelancer Overview

I’m a Computer Science student with a strong interest in AI, technology, and digital products. Over time, I’ve worked with different AI tools and data-focused tasks that helped me become comfortable with reviewing information carefully, spotting inconsistencies, and following structured guidelines. I’m familiar with handling large amounts of information, organizing data, working with spreadsheets, and using technology efficiently to complete repetitive but accuracy-focused tasks. I also have experience with tools like Python and React, which gives me a better understanding of how AI systems and datasets work behind the scenes. What makes me a good fit for data labeling and AI training work is that I’m detail-oriented, patient, and able to adapt quickly to new systems or instructions. I take accuracy seriously and understand how important high-quality labeled data is for training AI models. I’m also very comfortable with internet research, reviewing text or visual content, and using AI-assisted workflows. Because of my technical background and curiosity around AI, I’m able to learn new annotation processes quickly and stay consistent when working on long-term tasks or projects.

Labeling Experience

AI Image Classification & Annotation Project

ImageClassification

This project was completed as part of an Artificial Intelligence course in my Computer Science program. I worked with labeled image datasets to perform image classification and prediction tasks using machine learning models. The project involved reviewing image data, training classification models, testing prediction accuracy, and tuning parameters when results were not accurate enough. The work required analyzing model outputs, comparing prediction results, and improving performance through repeated testing and adjustments. I also documented observations during the process and evaluated how different changes affected the accuracy of the classification system. This project helped me gain hands-on experience with image datasets, annotation concepts, data quality evaluation, and AI training workflows.

2025 - 2025

Education

Work History