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H

Hye Yun Chung (hailey)

Senior Research Executive

SOUTH_KOREA flag
Seoul, South Korea
$20.00/hrEntry Level

Key Skills

Software

No software listed

Top Subject Matter

Finance - Pension Products, Product Recommendation, Risk Analysis
E-commerce - Product Categorization
General Text

Top Data Types

TextText

Top Task Types

Segmentation
RLHF
Evaluation Rating
Fine Tuning
Text Generation
Text Summarization

Freelancer Overview

Business Analyst with 4+ years of experience translating complex, large-scale data into structured, actionable insights across 10+ industries. My work consistently involves what AI training data demands most: precise categorization, pattern recognition, and clear annotation logic applied to messy real-world datasets. In my master's capstone, I directly worked with AI APIs to automate the segmentation and classification of 2,000+ financial products — giving me hands-on understanding of how AI models consume and rely on high-quality labeled data. I also generated plain-language advisory outputs for non-expert users, which sharpened my ability to label and structure information with end-user context in mind. This project earned the Outstanding Performance Prize for real-world applicability. My background in business analytics, statistical modeling, and cross-functional communication makes me a reliable contributor to data labeling and AI training tasks that require both analytical rigor and domain awareness.

Entry LevelKoreanEnglish

Labeling Experience

Financial Product Classification & Annotation (Master's Capstone Project)

TextSegmentation
Developed and applied a classification framework to segment and label 2,000+ financial products using an AI API. Defined category logic, validated model outputs for accuracy, and ensured consistency across the dataset. Also reviewed and refined AI-generated advisory text to meet plain-language standards for non-expert users — a process closely aligned with RLHF-style output evaluation.

Developed and applied a classification framework to segment and label 2,000+ financial products using an AI API. Defined category logic, validated model outputs for accuracy, and ensured consistency across the dataset. Also reviewed and refined AI-generated advisory text to meet plain-language standards for non-expert users — a process closely aligned with RLHF-style output evaluation.

2025 - 2026

Education

K

Korea University

Master of Science, Business Analytics

Master of Science
2025 - 2026
T

The Chinese University of Hong Kong

Bachelor of Business Administration, Business Administration

Bachelor of Business Administration
2015 - 2021

Work History

K

Kantar

Senior Research Executive

Seoul
2021 - 2025
L

L'Oréal

Digital, CRM, and E-Commerce Intern

Hong Kong
2019 - 2020