Long H. Nguyen
Data Scientist, Engineer
Work Experience
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.
Visa
Director - Data Science
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Design and deploy highly innovative ML models from Visa's unique global data. Analyze and extract key insights for a variety of applications, issuers and merchants. Promote new methodology and best practices in the field of data analytics.
Visa
Product Analytics Manager
- Develop Data Analytics solutions to solve complex business problems.
- Work with large data sets using quantitative techniques and build complex statistical/machine learning models that learn from big data.
- Hands-on experience on SAS, Hadoop, Hive, R, Python, and Tableau.
McLaren Applied Technologies
Sr. Data Scientist
Worked for the following projects:
- Predictive Health System - Develop intelligent models for monitoring asset health of mining trucks.
- Life Insights System - Developed systems for monitoring human’s health and improving their performance on daily life.
- Scheduling for Manufacturing - Performed scheduling with several complex constraints, including minimizing changeover time, minimizing disposal products, and considering depletion rate.
Institute for Infocomm Research (I²R)
Data Scientist
Worked for 7 industrial projects with significant funding for large multi-national corporations.
Selected projects with roles are named as follows:
- Sleep Quality Measurement – Principle Investigator - Developed multi-layer models that use accelerometer and HRV data to accurately detect wake and different sleep stages.
- Human Gait Analysis – Lead Scientist - Classified normal and abnormal gaits in a real-time manner using accelerometer data.
- Wattalyzer – Member - Developed an integrated solution for smart grid condition monitoring through advanced sensing and real-time analytics.
- Churn Prediction for Telco – Member - Developed a novel technique to process terabytes of customers’ data for churn prediction.
- Location Profiling for Mobile Phone Data – Member - Developed simple-yet-elegant algorithms for places of interest using terabytes of call details data.
- Methodology: Signal processing, Imbalance learning, Matlab, Java.
- Applications for avoiding injury of athletics and monitoring recovery in rehabilitation.
- Methodology: Anomaly detection, one-class classification, Java, Matlab.
- Deployed active learning to significantly reduce expensive labeling cost. The algorithm was published in IEEE Prognostics and Health Management (PHM), 2015. (link), (pdf)
- Methodology: Data stream analytics, Java, R, MySQL.
- Doubled customer’s expectation on accuracy improvement.
- Methodology: GBM, Boosted decision tree, R, ORE (Oracle).
- The algorithm was later published in IEEE Mobile Data Management, 2014. (link), (pdf)
- Methodology: Frequent pattern analysis, Java, Multithreading.
Nanyang Technological University
Researcher
Researched on differentially private publication of data streams.
Nanyang Technological University
Teaching Assistant
Undergraduate courses: Discrete Mathematics, Algorithms & Computing.
Airbus Group Innovations, Singapore
Intern Data Analyst
Developed multivariate statistical approaches for helicopter health monitoring.
Ho Chi Minh City International University
Researcher & Lecturer
Undergraduate courses: Computer Graphics, Data Structures & Algorithms, Web Programming.
Skills
Software: MySQL, Weka, RapidMiner, Windows, Unix/Linux, Mac.
Human languages: Vietnamese – native; English – fluent.
Awards
Visa’s Go-Share program
Visa’s Go-Share program to Dubai for high performance staff in order to exchange experience and skillsets.
LookSeeWellington career trip
Kaggle Inc.
Kaggle Master with the highest global rank of 294th/500k
Top performer candidate
Institute for Infocomm Research (I²R)
Graduate research scholarship
EADS Company (~180,000 SGD)
Education
Nanyang Technological University (NTU), Singapore
Computer Science
Doctor of Philosophy
Ho Chi Minh City University of Technology, Vietnam
Computer Science
Honor Bachelor
Selected Publications
Closed motifs for streaming time series classification.
Knowledge and Information Systems
Concurrent Semi-supervised Learning with Active Learning of Data Streams.
Transactions on Large-Scale Data-and Knowledge-Centered Systems
Activities
Reading, traveling, and photography.
References
"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."