Project involves the analysis of grocery sales data from BlinkIT, to derive insights and visualize key metrics using Power BI. The dataset contains fields such as Item Fat Content, Item Identifier, Item Type, Outlet Establishment Year, Outlet Identifier, Outlet Location Type, Outlet Size, Outlet Type, Item Visibility, Item Weight, Sales, Rating.

"Predict and enhance employee promotions through data-driven insights and a predictive model in the 'HR Classification for Promotion' project."

Descriptive Analysis into the survival patterns and factors influencing outcomes in the Titanic disaster through data analysis. Uncover insights into gender disparities, class impacts, and data-driven conclusions.