In this project, our team developed an automated report generation system using Python and Django, which extracts data from the OLAP datastore Apache Pinot. The goal was to create a user-friendly web application that streamlines the reporting process, providing real-time insights and analytics.
In this project, our team developed a Power BI app for data management of a Healthcare company aimed to serve as a reliable resource for sustem administration and technical support staff, enabling them to understand, manage, and resolve issues related to the system efficiently.
It was used machine learning and Data transformation to detect ilicit activities in a marketing, transportation and selling of certain kind of products.
Data source- Server Analysis Services (SSAS)
Identify through statistical methods whether next period of time there will be any shortage of a product
Using SSIS to transform data into business context reference.
Using Java,CSS,JavaScript,html and SQL