I am focused on growing as a Data Analyst, Data Engineer, specializing in building efficient data pipelines, processing, and optimizing data workflows. My passion lies in uncovering the value of data to provide actionable business insights. I strive to solve problems using various tools and technologies.
- Tech Stack: Python, Pandas
- Description: Studied the correlation between postpartum care facility closure rates and development potential in local cities, providing data-driven insights.
- Achievements: Won the Encouragement Award at a competition hosted by the Korea Information and Communication Security and Ethics Society.
- Tech Stack: Python, TensorFlow, OpenCV
- Description: Developed a system that classifies waste using a webcam and controls waste separation using Arduino.
- Key Tools: Google Cloud Storage, BigQuery, Python, SQL, SAP ERP
- Responsibilities:
- Data collection and analysis using SAP ERP and VPN.
- Performed ELT processes and prepared data for analysis.
- Designed data models for specific analytics purposes.
- Created source documentation to support analysis and reporting.
- Results & Skills Gained:
- Enhanced SQL and Python data analysis skills.
- Gained experience in client-specific data management.
- Email: puojeongin41@gmail.com
- GitHub: https://github.com/vy8w
