In this project we analyzed datasets related to Customer demographics, Customer Address, Transactions provided by KPMG's client to target high-value customers and boost their business. This included data quality assessment, visualization, drawing insights, Exploratory data analysis, and RFM analysis.
The aim of this project was to enhance the usability of raw housing data for analysis by transforming it using MS SQL Server.
This project involved the utilization of SQL Server to analyze worldwide COVID-19 data using Joins, Common Table Expressions (CTEs), Window Functions, Temporary Tables, and Views.
I utilized Power BI to create interactive visualizations and reports for my COVID-19 project. The dashboards enabled me to analyze the data from multiple perspectives, identify trends, and drill down into specific areas of interest. The visualizations included maps, charts, and graphs, which presented the data in an easy-to-understand format. The Power BI dashboards were a valuable tool for analyzing and reporting on the COVID-19 data.