- Location
- Melbourne, Victoria, Australia
- Bio
-
I am a senior lecturer in mathematics discipline at RMIT University. Currently I am the Program Manager for BP331 Bachelor of Analytics, and the course coordinator for Math2191 Applied Research Project, a work integrated learning (WIL) core subject for Master of Analytics and Master of Statistics and Operations Research programs at RMIT. I have got 20 years experience working in the area of Statistics and Data Analytics. As the course coordinator for the WIL subjects, I have successfully placed over 250 students in the last two years to over 150 real world industry projects/placements. These have greatly enhanced our students' capabilities of ready-to-work. Many students have found jobs as a direct result of their WIL experience. These achievement cannot be achieved without the strong support from our industry and academic communities. I wish to work continuously with our industry partners and academic colleagues to give our students at RMIT the great WIL experience.
- Portals
-
-
Melbourne, Victoria, Australia
-
- Categories
- Data visualization Data analysis Data modelling Machine learning
Achievements
Latest feedback
Experience Feedback
Experience Feedback
Recent experiences
Work Integrated Learning in Data Analytics
MATH2191
This work integrated learning course addresses the application of analytics and statistics in a real world situation for final year Master of Analytics, Master of Statistics and Operations Research and Bachelor of Analytics students. The projects include data pre-processing and cleaning, data wrangling and exploration, data visualisation (such as dashboard), time series analysis, multivariate analysis, predictive modelling, quality control, regression, machine learning, , experimental design and optimisation. Computation tools include in particular querying language (SQL), R, Python, SAS, and Matlab. Our WIL projects have helped big and small companies improving their service and efficiency using current analytics and data science techniques. The WIL also provides a pathway for industry to recruit excellent graduates. Some employers report that our students bring fresh ideas and approaches to the workplace, sharing the latest research and thinking in the field they study.
Work-Integrated Learning in Data Analytics - Team project
MATH2191
The project addresses the application of analytics and statistics in a real world situation and is a capstone project for final year Master students. Our students have extensive knowledge in data extraction and preprocessing, data wrangling and exploration, data visualization, machine learning, forecasting, multivariate analysis, quality control and experimental design. Computing skills include querying language (SQL), scripting language (R, Python) & statistical language (R, SAS).
Work Integrated Learning in Data Analytics
MATH2191
The project addresses the application of analytics and statistics in a real world situation and is a capstone project for final year Master students. Our students have extensive knowledge in data extraction and preprocessing, data wrangling and exploration, data visualization, machine learning, forecasting, multivariate analysis, quality control and experimental design. Computing skills include querying language (SQL), scripting language (R, Python) & statistical language (R, SAS).
Work Integrated Learning in Data Analytics
MATH2191
The project addresses the application of analytics and statistics in a real world situation and is a capstone project for final year Master students. Our students have extensive knowledge in data extraction and preprocessing, data wrangling and exploration, data visualization, machine learning, forecasting, multivariate analysis, quality control and experimental design. Computing skills include querying language (SQL), scripting language (R, Python) & statistical language (R, SAS).