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Team Name:

Team 1468 - VietAusIT - Brisbane


Team Members:


Evidence of Work

Outliers - Stay Ahead Of Your Career

Project Info

Team 1468 - VietAusIT - Brisbane thumbnail

Team Name


Team 1468 - VietAusIT - Brisbane


Team Members


Rodo , Paul , Eric Do , Tony Bui , Jaden Bui , Hannah La , Jaymin Do , Nhi Kieu , Harry

Project Description


We implement a reverse search that allows general public to build skill profiles and match their skill set to the potential industry and career paths.

At the moment, Australian Skills Classification’s search requires you to have the domain knowledge to drill down to the skill requirements for that industry or occupations.

Our solution focuses mainly on the user’s existing skill set to provide them wth jobs or career paths insight that might fit into their interest area, helping them to discover new opportunities within the region of their choice


#skill #job opportunities #job seeker #young people #transitioning

Data Story


One of the major challenges is how to utilise the datasets from various sources including Australian National Skill Classification, Contract Disclosure and Forward Procurement from Queensland open data portal, then putting the data provided by the user to generate the recommended career paths.

Having the Australian National Skill Classification “skill clusters” and “occupation” datasets allows us to directly get the analytic data for skill clusters for each occupation. By reversing the mechanism and build the correlation between the skills, which is clustering into 10 main clusters (Numeracy, Digital engagement, Teamwork, Writing, Reading, Learning, Problem solving, Oral communication, Planning and organising, Initiative and innovation) and 3 tiers for each skill, we are able to generate the connected graph which allows user to explore the job titles associate with the user’s skills level.

Another objective is to predict the demanding workforce for each region in Queensland particularly and Australia potentially. Having deep insight and utilising the data from “Forward Procurement” and “Contract Disclosure” datasets, we calculated the market capital and ranking on which industry is providing high opportunities/employee shortage for each region. The result would be able to tell the user on which industries in a region have high opportunities for the user.

Further implementations include clustering the number of jobs currently available for each industry in real time, which requires data from job searching platforms such as SEEK or Jora. In additional, data insights could be used to provide potential industry information for investors.


Evidence of Work

Video

Homepage

Project Image

Team DataSets

Contract Disclosure

Description of Use Allow analysing the workforce and calculate the market capital

Data Set

Job titles by industry

Description of Use Allow categorizing job titles by industry

Data Set

Forward procurement pipeline

Description of Use Allow analysing the workforce and calculate the market capital

Data Set

Queensland Suburb GeoJSON

Description of Use Allow getting location and displaying QLD subburb data on the map

Data Set

Australian National Skill Classification 2021

Description of Use Allow analysis of skill assessment and create recommended job list

Data Set

Challenge Entries

Youth education and employment

How might we use publicly available data to identify education and employment opportunities for our youth?

Go to Challenge | 25 teams have entered this challenge.

Exploring the National Skills Commission’s Australian Skills Classification

How can the general public learn about and be encouraged to interact with the Australian Skills Classification to identify skills within occupations, identify their own skillsets and identify transferability to other occupations of interest?

Eligibility: Participants must use the Australian Skills Classification dataset.

Go to Challenge | 25 teams have entered this challenge.