Gabriel Ng
** ******* **. **********, ** ***** cell: 551-***-**** ********@*****.*** https://www.linkedin.com/in/gabriel-ng-a3556586/
Profile
Rutgers University and NJIT graduate of 2020 looking for positions as a back-end software engineer, database developer, or as a Data Analysis.
EDUCATION
BA May 2020 Rutgers University & NJIT GPA:3.2
•Major: Computer Science Minor: Music
•Related Coursework: ·Calculus (I, II, and III), Computer Programming (Java, C++), Data Structures and Algorithm Design, Database Design, Discrete Structures, Numerical analysis, Probability and Statistics, Guided Design in Software Engineering.
•Projects: Automatic Exam Grader(Back-end/project manager). Python interpreter in C++ Photography shop database.
Experience
Tata Consulting Services, Albany NY - Database Administrator
August 2020 – present
•Performing administrative duties for IBM DB2 LUW databases, including granting necessary permissions for developers on the project, and reviewing database change requests.
•Writing sql scripts to perform data profiling, to assure data quality meets project expectations, and data cleansing to fix any data that does not meet them.
•Creating ER diagrams for different functionalities using erwin DM
Rutgers Business School, Newark NJ - Student Worker (Helpdesk)
June 2015 - January 2018
•Offer excellent technical support to students and staff daily.
•Image over 50 new computers that were utilized by both faculty and students.
•Setup 2 computer labs and kept the computers up to date and in working condition.
•Looked into technical issues and communicated problems and solutions to both supervisors and coworkers.
SKILLS
Programming
Proficiency with Object Orientated Programing Languages (Java, C++), knowledge of scripting languages (PHP, Python). Understanding of data structures and algorithms. Experience with programming in Windows and Linux. Experience with SQL and relational database design (MySQL, phpMyAdmin).
Microsoft Office
Proficiency with Microsoft Word, PowerPoint, and Excel.
Data Analytics
Experience with data analytic tools for python (ex. numpy, pandas, matplotlib), and data reporting tools like Power BI and Tableau.