King So

Key Skills

Software

Labelbox

Top Subject Matter

fraud categorization

ecommerce fraud taxonomy

ID verification

Top Data Types

Text

Top Label Types

Classification

Freelancer Overview

In my current role, I gained valuable experience in efficiently labeling data to enhance the accuracy and effectiveness of machine learning algorithms leveraging data-driven approaches to combat fraud in the financial sector, specifically eCommerce and Fintech industries.

Labeling Experience

Fraud Type

LabelboxTextText Summarization

1% of the dataset was selected from the pool of 1 million users who had P2P transfers occurring between a period of time. A selected timeframe are being evaluated to determine the type of fraud committed or false positives.

1% of the dataset was selected from the pool of 1 million users who had P2P transfers occurring between a period of time. A selected timeframe are being evaluated to determine the type of fraud committed or false positives.

2023 - 2023

Education

Work History