Data enthusiast, problem solver, Kaggle master with a business mindset. Dr. Long NGUYEN is currently a Director - Data Science at Visa Inc. company. He has more than nine years’ experience working on machine learning and data science. He also has two additional years working as a software engineer. He has strong interests in how to apply machine learning into real industries with big data. He has successfully worked for several industrial projects with significant funding for large multi-national corporations such as banks, telcos, consulting firms and energy corporations. Moreover, he has published scientific papers in reputed conferences and journals. His research interests include time series mining, data stream mining, big data, and condition-based monitoring.
Director - Data Science
Product Analytics Manager
Sr. Data Scientist
Worked for the following projects:
Worked for 7 industrial projects with significant funding for large multi-national corporations.
Selected projects with roles are named as follows:
Researched on differentially private publication of data streams.
Undergraduate courses: Discrete Mathematics, Algorithms & Computing.
Intern Data Analyst
Developed multivariate statistical approaches for helicopter health monitoring.
Researcher & Lecturer
Undergraduate courses: Computer Graphics, Data Structures & Algorithms, Web Programming.
Visa’s Go-Share program to Dubai for high performance staff in order to exchange experience and skillsets.
Kaggle Master with the highest global rank of 294th/500k
Institute for Infocomm Research (I²R)
EADS Company (~180,000 SGD)
Knowledge and Information Systems
Knowledge and Information Systems
Transactions on Large-Scale Data-and Knowledge-Centered Systems
"While working for our institute, Dr. Long put his comprehensive and versatile know-how into practice in a targeted way to implement projects effectively. He possesses excellent expertise regarding data engineering skills, advance statistics, and predictive modelling techniques to build, maintain, and improve on multiple real-time decision systems.
At all times, I have found Dr. Long to be dependable, reliable, hard-working, courteous, and responsible. I still remembered he was willing to work overtime when project deadlines required this. He also volunteered to work on an extra project when his colleagues in that project required his expertise and support.
Dr. Long has shown his strong interests in how to apply machine learning into real industries with big data. With the two years in our department, he has successfully worked for seven industrial projects with significant funding for large multi-national corporations such as a telcos, consulting firms and energy corporations. He was promoted as a lead data scientist of the joint lab between I²R and McLaren Applied Technologies.
Dr. Long is a very good team player and had excellent relations with colleagues. He also showed very good team leadership and project management skills. He not only managed his team well by balancing workload for team members based on their skill sets, but also ensured delivery of projects on-time."
"Long displayed a tremendous amount of dedication to his work. He demonstrated strong can-do attitude and versality in picking up data mining as well as in working with me on an industrial project on health monitoring. His programming skill was excellent too as he was able to quickly understand open source codes and modify them for the project."