IT ticket

Conducted data cleaning operations using Python to refine the IT service desk ticket dataset and eliminate artifacts.
Employed exploratory data analysis (EDA) techniques to gain insights into the IT service desk ticket data and identify patterns or anomalies.
Developed interactive dashboards using Power BI to visualize key performance indicators (KPIs) such as ticket resolution times, SLA compliance, and user satisfaction metrics.
Leveraged Power BI's wide array of visualization options including line charts, bar graphs, heatmaps, and drill-down functionalities to effectively communicate insights.
Utilized SQL queries and Power BI to perform forecasting and trend analysis on IT service desk ticket data, enabling the identification of recurring issues, peak demand periods, and opportunities for process optimization.

IT Service Desk Analysis