I'm Eunseo Song (You can call me Liz!), a Data Analyst passionate about leveraging data insights to enhance product optimization and improve business performance metrics.
With a background in Liberal Arts and Industrial Engineering, I go beyond numerical analysis by focusing on contextual and phenomenon-based data interpretation, uncovering deeper patterns and delivering actionable strategies.
- Programming Languages: Python, SQL
- Data Visualization: Python, Power BI, Tableau, Google LookerStudio
- Machine Learning: Regression, NLP, Tree-Based Models
- Tools: Git
Data Analysis of the Impact of Brand Name Queries on CTR, Conversion Rate, and Brand-Specific Funnel Performance
- Examined the differences in Click-Through Rate (CTR) and Conversion Rate (CVR) between brand-name search queries and general search queries, identifying key performance variations.
- Developed targeted marketing strategies by analyzing brand-specific funnel performance.
🏆 Excellence Award (Shinhan Financial Group)
- Conducted Exploratory Data Analysis (EDA) and Correlation Analysis to develop a data-driven UI/UX enhancement strategy for improving digital accessibility for senior users.
🏆 Excellence Award (Hyundai Motors & KPOMS)
- Identified key factors influencing vertiport site selection, including traffic volume, transportation inequality index, regional size, and availability of suitable locations.
- Integrated satellite location data, transportation inequality indices, and regional traffic patterns to develop a data-driven optimization model for strategic vertiport placement.