Brief summary
PhD student with four years of experience in data science, analysed various types of datasets and came up with data-driven insights. Proficient in predictive modelling, data processing and data mining algorithms, as well as scripting languages.
Current occupation
PhD student in Artificial Intelligence, Applied Artificial Intelligence Institute, Deakin University, Australia
Work experiences
| Year | Description |
|---|---|
| Mar 2015 - Oct 2018 | NLP Research Assistant at Vietnam National University, Hanoi - Researched on different topic modelling models to classify online articles into different categories. - Studied about natural language processing pipeline. |
| Apr 2017 - Apr 2018 | Machine Learning Engineer at SONAT (now Dagoras) - Built a social media monitoring system to collect thousands of online articles from multiple platforms (online news, social media). - Analysed the monitored data and provided insights to the business team. - Developed a sentiment analysis module to uncover trends about desired topics. - Technologies: AWS, NoSQL, Python, Angular. |
| Jul 2016 - Dec 2016 | Data Mining Intern at Viettel Cyber Security - Processed network requests to detect suspicious behaviours. Reduced hundreds of millions network requests down to hundreds for further investigation. - Technologies: Apache Spark. |
Publications
- Nguyen, D., Nguyen, B., Nguyen, P., Tran, T. (2021, July). High-Order Representation Learning for Multivariate Time Series Forecasting. In 2021 International Conference on Machine Learning: Time Series Workshop (TSW-ICML).
- Nguyen, D., Nguyen, P., Tran, T. (2021, January). EvSys: A Relational Dynamic System for Sparse Irregular Clinical Events. In AI for Disease Surveillance and Pandemic Intelligence, 267–279.
- Nguyen, D., Nguyen, P., Do, K., Rana, S., Gupta, S., & Tran, T. (2020, December). Unsupervised Anomaly Detection on Temporal Multiway Data. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1059-1066). IEEE.
Educations
| Year | Description |
|---|---|
| Feb 2019 - Now | PhD in Artificial Intelligence, A2I2 |
| Oct 2013 - Jun 2017 | Bachelor in Computer Science, VNU - University of Engineering and Technology. GPA: 3.86/4.0. |
Skills
- Data Visualization: Matplotlib, seaborn
- Statistical Analysis and Data Modelling
- Data Storage: MongoDB, MySQL, PostgreSQL, Elasticsearch
- Programming Languages: Python (4 years), Java (2 years), C++ (2 years)
- Machine Learning Frameworks: scikit-learn, PyTorch, TensorFlow
- Strong communication skills
Honours and Awards
| Year | Achievement |
|---|---|
| 2016 | Second Prize (ranked 8/108) ACM/ICPC - Asia Nha Trang Regional Contest |
| 2015, 2016 | Second Prize National Olympiads in Mathematics (Linear Algebra) |
| 2014 | Second Prize (ranked 11/152) ACM/ICPC - Asia Danang Regional Contest |
| 2012, 2013 | Second Prize National Olympiads in Informatics for High School Student |
Other activities
- Giving talk regularly in Reading Club on Differentiable AI
- Participant in ARC Research Hub for Digital Enhanced Living