• Created logistics risk-related news detection model and a model for news occurrence location detection leveraging LMM, extracts an average of 30 logistics risk-related articles daily from approximately 100,000 news articles, and updates operations managers via Power BI every hour• Built features for generating logistics risk notification reports using chatGPT, developing functionality automatically creates reports when logistics risk-related news is detected and sends via email to… Show more • Created logistics risk-related news detection model and a model for news occurrence location detection leveraging LMM, extracts an average of 30 logistics risk-related articles daily from approximately 100,000 news articles, and updates operations managers via Power BI every hour• Built features for generating logistics risk notification reports using chatGPT, developing functionality automatically creates reports when logistics risk-related news is detected and sends via email to operations managers, turning it into a service• Vetted up events for Google Tag Manager and built Google Analytics reports for customer behavior analysis on Samsung SDS logistics marketing portal(www.cello-square.com)• Created model for parcel arrival time prediction leveraging machine learning techniques, accomplished a management tool for model version control (MLflow), and accomplished it on AWS to handle changes in API request volumes• Designed and constructed blockchain networks to improve logistics visibility and security, leading a blockchain customs project connected all stakeholders involved in customs processes to enhance efficiency; developed blockchain network as part of a pilot initiative aimed at streamlining customs operations• Analyzed vessel AIS (Automatic Identification System) data to define trajectories of key shipping routes using historical information, and developed forecasting models to predict estimated arrival times and port congestion levels• Developed and implemented correlation analysis of products to identify cross-selling opportunities, providing strategic recommendations for product displays contributed to increased sales; established a Market Communication System (MCS) for the Fashion Division of Samsung C&T Corporation• Developed and implemented a demand forecasting model for over 3,000 consumer goods, resulting in improved inventory accuracy; established an Advanced Planning and Scheduling system at Dongwon F&B to optimize operational efficiency Show less