I am an experienced Data Scientist and Web Developer with a demonstrated history of working in both academic and industry. I have strong research professional with a Doctor of Philosophy (PhD.) focused on Machine Learning from the University of Technology Sydney.
Researched on Bayesian Deep Learning topic, which aims to take advantages from both Probabilistic models and Deep Learning. Developed novel methods for complex machine learning of large-scale, sparse, multi-source and dynamic data. Supervised new PhD students.
Designed and developed a novel data-driven platform based on the regression model for Smart Beach Analytics project. Gathered requirements from stakeholders and translated them to safety and risk analysis and prediction for better planning and management of beaches. Tools: Python, Django, RestfulAPI, React, Bootstrap, HighCharts, MongoDB, TensorFlow, Numpy, Scikit-Learn, Pandas and Matplotlib.
Managed a team of 12 people. Designed and developed Sherlock Engine, a recommender system for making a decision (i.e., email marketing campaign, A-B testing and user segmentation). This model helped companies to gain the potential customer base by approximately 40% by analyzing millions of current customers. Tools: R, RoR, Bootstrap, Highcharts, Mahout, NoSQL, GAE and AWS/SES/S3.
Led a team of four people to develop a Customer Relation Management (CRM) module of EC-REVO, an e-commerce project for Japan market. Tools: RoR, Bootstrap, Highcharts, MySQL and AWS.
Designed and developed a novel data mining method for stock price prediction. Tools: C/C++.
Developed some modules for e-Commerce and ERP project. Developed some CMS(Content Management System) websites.
Thesis: Non-IID Latent Variable Models
Besides the time for data, I have passionate about Vietnamese music and books. Also, I love to travel. Outside Sydney, I have travelled and lived in several large cities, including London, Paris, Tokyo and Montreal.
More information can be found in my academic site.