Taiwo Oloko

Key Skills

Software

Appen

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Entity Ner Classification

Segmentation

Classification

Question Answering

Text Generation

Freelancer Overview

I am a data-driven professional with a strong background in statistics, data analysis, and machine learning, specializing in preparing and processing high-quality datasets for AI and analytics projects. My hands-on experience includes cleaning, annotating, and transforming real-world HR, inventory, customer feedback, and social media datasets to ensure accuracy and consistency for downstream modeling. I have developed and deployed predictive models, performed sentiment analysis using NLP techniques, and visualized insights through interactive dashboards with Power BI and Excel. Proficient in Python, SQL, and R, I am skilled at handling the full data pipeline, from collection and labeling to feature engineering and model evaluation. My collaborative approach and attention to detail help deliver reliable training data that drives impactful AI solutions.

Labeling Experience

Freelance Data Labeling & Annotation Specialist

Scale AITextEntity Ner ClassificationSegmentation

Worked as a freelance data labeling specialist on multiple AI training projects through Remotasks and Appen. Tasks included image annotation using bounding boxes to identify and classify objects for computer vision models, text categorization for sentiment analysis and content classification, and named entity recognition (NER) to label people, places, and organizations in unstructured text. Consistently met quality benchmarks and maintained high accuracy scores across projects, contributing to the development of machine learning datasets for AI model training.

Worked as a freelance data labeling specialist on multiple AI training projects through Remotasks and Appen. Tasks included image annotation using bounding boxes to identify and classify objects for computer vision models, text categorization for sentiment analysis and content classification, and named entity recognition (NER) to label people, places, and organizations in unstructured text. Consistently met quality benchmarks and maintained high accuracy scores across projects, contributing to the development of machine learning datasets for AI model training.

2024 - 2025

Education

Work History