Certified Professional Controller (CPC) On-Board Success Evaluator
Description
CPC Outlook Generator (COG) is a front end Graphical User Interface built to interact with a data model called CPC Onboarding Success Evaluator (COSE), a machine learning model capable of predicting how many Certified Professional Controller (CPCs) the FA
Detailed example
Based on what-if scenario, the system provides a graphical representation of a 5 or 10 year CPC staffing outlook (which is the predictive component provided by the ML). Alongside with the cost (training and salary) the "when" the target shifts (is it ear
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Controls / human review
ATO: Yes; PIA: Yes
Data needed
Python-code algorithms are applied to multiple data sources owned by the agency such as Staffing Work Book, Federal Personnel Payroll Sytem, National Training Database, Controller workforce plan, etc. to train, fine-tune, and evaluate performance of the