Seung Kwon Ryu

Detail-oriented applicant with a strong foundation in data analysis and client data management, equipped with the skills to optimize business operations through analytical expertise. Proficient in Excel, Python, SQL, and data visualization tools, with hands-on experience in processing and analyzing client data efficiently. Utilized RFM analysis and K-means clustering to perform customer segmentation and developed tailored marketing strategies for each cluster, earning the Best Award. Skilled in analyzing data with precision and collaborating effectively with diverse teams.

• Excellence Award, Cultural Tourism Data Utilization Competition (Korea Culture & Tourism Institute, Dec 2024)
• Grand Award, Business Analytics Competition (Hanyang University, Korea Institute of Industrial Technology, Dec 2024)
• Best Award, IC-PBL Competition (Hanyang University, Jun 2024)
• Excellence Award, Undergraduate Thesis Competition (Korean Management Consulting Association, May 2024)

1. Hyplat Customer Segmentation & Strategy

• Tools: Python (K-means Clustering)
• Summary: Segmented customers into 4 clusters and proposed marketing strategies, winning Best Award at IC-PBL Competition.

2. STOVE Platform Traffic Analysis

• Tools: Google Analytics, Looker Studio
• Summary: Analyzed traffic metrics and proposed strategies to improve user engagement.

3. Kakao Games Market Report

• Tools: Excel
• Summary: Conducted SWOT and competitor analysis, recommending strategies to improve financial performance and global reach.

TOEIC Speaking Test Intermediate Mid 3