Data Science is a multi-facet discipline. The diagram below shows the position of a data scientist in multi-disciplinary areas.
(Courtesy Melbourne Business School)
Optimization using Python
Monash Motorway Mapping using Matlab
Quadratic Equation creation using Matlab
Projects & Main Data Science Techniques used (Publications & Presentations)
2020 – Present: Triple A Super (TAS), Convolution ANN, Document Verification, Portfolio Optimisation
2018 – 2020: HR Optimisation, Stochastic Optimisation
2015: Component Analysis, Food Preference Categorisation
2012: Radio Data to Mosaic Images
2009-2012: MCMC, SA, Genetic Algorithm, Gossip Algorithm, Epidemiology (More information)
1998: Landslide Hazard Prediction, Using for Insurance, Presented in APCOM’98, Imperial College, London
Bio-Inspired Algorithms
- Particle Swarm Optimisation
- Gossip Algorithm
- Epidemiology
- Genetic Algorithm
Publications & Presentations: Research Gate, Google Scholar
Champ's Blog 