Contributed to building an integrated data platform to streamline research workflows and analytics.
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.