Pivot
The Department of Workforce Development combined its own data with numerous other datasets available from the Department of Education, the Commission for Higher Education, and more from Indiana’s statewide longitudinal data system (SLDS) could help constituents identify their best path forward through numerous training programs and occupational services. DWD needed a way to transform the raw data information into a tool that would empower unemployed workers.
Using data available only the state has access to and pairing it with machine learning, this cutting-edge tool makes personalized career and training recommendations to users based on work history, wages, and education attainment. This means, job seekers, including those who are ineligible for UI, can instantly see potential jobs with minimal input. This takes away the guess work of where to start the job hunt after being laid off.
Job seekers are provided ranked recommendations that include information such as:
- median wages
- number of job openings in their region
- job demand
- job description
- training duration
- and training completion
These data points within their recommendations allow users to make informed decisions and see trade-offs between their top recommendations. As feedback is given to each recommendation, new jobs that better fit the users ideal career path appear. The system can also be reset should the user change their mind.
✓ Provides job seekers with a personalized pathway to success based on data insights from similar citizens with positive workforce, training or education attainment outcomes.
✓ Helps job seekers pursue career trajectories that provide employment stability, upward mobility, and fulfillment.
✓ 160+ million wage, UI, and education records entered into algorithm to generate recommendations.
✓ Has over 23,000 users as of June 2024.
