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.
It was used machine learning and Data transformation to detect ilicit activities in a marketing, transportation and selling of certain kind of products.
An entire Data Science project was developed, generating a visualization dashboard built with Dash-Python for the forecast of energy in London for the coming months.
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.