Ayokunle O.

Key Skills

Software

Label Studio

Img Lab

Humanatic

AWS SageMaker

Top Subject Matter

Healthcare

Automobile

E-commerce

Top Data Types

Image

Text

Document

Top Task Types

Classification

Segmentation

Text Generation

Text Summarization

Object Detection

Freelancer Overview

I've also had practical experiences in participating in AI data labelling projects with Deloitte, which were directly used for training AI models. This entails tagging and organizing raw data in a way that AI could accurately learn from it, similar to how a child learns by being shown the correct examples. In addition to labelling, I have developed and trained a number of machine learning models myself, such as random forest models used for customer churn prediction for BCG and Lloyds Banking Group, and know not only how to prepare training data, but also how this data ultimately influences the performance of a model. The thing that distinguishes me is that I see from the raw messy data to a working AI model. I have worked on data pre-processing tasks such as data cleansing, data encoding, and feature scaling, all important steps that occur before and during data labelling. I also have a working knowledge of various Python tools commonly used in AI data pipelines, such as Pandas and Scikit-learn, as well as exposure to large-scale computing environments at Argonne National Laboratory and at the University of Chicago. The labelling experience, coupled with a knowledge of building models and technical skills, gives me attention to detail and a greater appreciation of the importance of quality training data.

Education

Work History