- Worked with a team of 10 people to maintain data pipeline that processes up to 50K rows of data every week using Python- Optimized data processing code to improve readability and efficiency by 50%- Transformed thousands of data into meaningful and interactive graphs using Power BI

- Processed and filtered millions of data with Python- Applied statistical methods to calculate, rank the data and draw plots using R- Researched 50+ scientific articles and write papers to national conference and allied journals

- Handled 50+ calls and emails daily through various means including creating work orders, connecting customers to appropriate department, and intensively support faculty, staff members and students to resolve technology related issues- Resolved issues with over 90% satisfactory rating- Periodically maintained classroom’s equipment and ethernet port- Monitored the university’s webpage and document any issues found- Set up 100+ computers for classrooms

- Self-taught RStudio using past coding experience- Collaborated with 2 professors to successfully develop and publish an RStudio package on CRAN- Devised and programed practical and user-friendly data input features- Tested the package with large, randomly generated datasets to develop use cases- Wrote final reports on the project to national conference and allied journals