vinodbavage31/ITSM-dataset-ML
End-to-end ML pipeline built on a 45K-record ITSM dataset to automate incident triage, predict high-priority tickets (96% Acc.), and forecast incident volume for proactive resource planning.
This project helps IT Service Management (ITSM) teams automate the handling of incoming support tickets and plan resources more effectively. It takes historical incident data from your ITSM system and provides predictions for high-priority incidents, automated tagging of tickets, and forecasts for future incident volumes. This is designed for IT operations managers and service desk leads.
Use this if you manage an IT service desk and want to move from reactive incident handling to proactive problem-solving and resource allocation.
Not ideal if your organization doesn't have a significant volume of historical ITSM incident data or if you primarily need a dashboard for real-time monitoring without predictive capabilities.
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Last pushed
Jan 23, 2026
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