Cleaned and analyzed a sample dataset on vehicle sales in Power BI, and formatted data for use in visualizations
Created various visuals in Power BI, including barcharts, donut charts, and maps, to visualize the trends in sales from 2003-2005 and created slicers to better visualize the different variables, such as the year, the size of sale, and location.
Used Python for data cleaning, enabling dynamic insights into high risk assets and maintenence costs.
Built a Power BI dashboard to moniter IT assets and track warranty expirations.
Incorporated a risk matrix to highlight assets needing attention.
Discovered an interactive Power BI dahboard analyzing survey data from 630 data professionals.
Created slicers and dynamic visuals to explore insights into hapiness with salary, work/life balance, career entry difficulty, average salary by title, and tool preferences.