HYOKYEONG YUN

• Lead development of demand forecasting models for 3,000+ SKUs using XGBoost and statistical methods, improving accuracy by 5-10%p over baseline
• Built automated training/serving pipeline using SageMaker, reducing manual effort by 50%
• Design data architecture integrating SAP and CDP sources for supply chain optimization
• Collaborate with business stakeholders to define new supply chain KPIs and metrics

Demand Forecasting Project:

• Developed ML models (XGBoost, LSTM) to predict weekly and monthly demand for all retail SKUs
• Led initiative to expand domestic forecasting system to 16+ global subsidiaries
• Designed data architecture to integrate subsidiary sales, inventory, and logistics data
• Engineered features capturing sales trends, seasonality, promo effects, etc.
• Evaluated model performance using WAPE, MAPE, and bias metrics

• Led analytics projects for e-commerce clients, delivering insights on customer behavior
• Designed and implemented customer segmentation models (RFM, DBSCAN) to enable targeted marketing strategies, resulting in 30% increase in campaign ROI
• Developed A/B testing methodology for website UI/UX experiments using Google Optimize and Adobe Target, contributing to 156% YoY growth in direct sales
• Built automated reporting systems using Tableau and BigQuery, reducing manual effort by 50+ hours per week

Key Project 1 - Online Customer Journey Optimization:

• Analyzed clickstream data to identify user behavior patterns and pain points
• Developed customer segmentation using RFM analysis and clustering algorithms
• Designed and executed A/B tests for personalized UI/UX and content recommendations
• Automated KPI reports and dashboard in Tableau for real-time performance tracking

Key Project 2 - Web/App Analytics Implementation:

• Global PJT: Led web/app analytics rollout for US, Canada, Australia, and Middle East markets
• Developed global data collection and governance standards using Adobe Analytics
• Integrated with customer data platform (Treasure Data) to enable unified customer view
• Collaborated with local agencies to customize data capture for regional requirements

• Built automated ETL pipelines for marketing data processing using Google APIs and Spreadsheets
• Created integrated dashboards combining Google Analytics and advertising platform data (Facebook, Naver, Criteo, Mobion)
• Conducted Google Analytics and Tag Manager training sessions for business users, increasing external inquiries by 3x
• Implemented GA tagging for various e-commerce platforms (Cafe24, Godo, Makeshop)
• Created real-time dashboard system for campaign performance monitoring