Ngui Su Ying

I’m a Computer Science graduate specializing in Database and Data Analytics, and I focus on turning messy information into reliable, structured datasets. I’m hands-on with Excel, Power BI, SQL, and Python to support data management and analysis with accuracy and consistency.

At Sangfor Technologies, I work as a Field Application Engineer & Operations Intern, where I maintain and update technical documentation and operational records with a high level of accuracy. I also organize and manage inventory, asset records, and deployment tracking using structured spreadsheets, then prepare reports and documentation to support project execution and cross-functional collaboration.

Beyond operations, I contribute through research and publications. In 2026, I presented original research on spatial and temporal analysis of land subsidence using QGIS, SNAP, and Sentinel-1 DInSAR satellite data at the 6th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), Fez, Morocco.

I’m detail-oriented and highly organized, and I take pride in delivering accurate results for data entry, data cleaning, virtual assistance, and reporting projects. My training includes IBM Cognitive Class SQL and Relational Databases 101 and Data Analysis with Python, reinforcing my ability to build, query, and analyze data effectively.