Data Science Club from Universidad de Montevideo.

• Development of a sentiment analysis model of comments written by the different people involved in a project. Microsoft Fabric, PySpark and PowerBI were used for this purpose.• Analysis and evaluation of the use and benefits of a tool specifically designed for one of the clients using the Streak API and libraries such as Pandas and Plotly.• Creation and implementation of Extract, Transform and Load (ETL) processes using Microsoft Fabric. • Design and creation of Power BI dashboards for internal use, as well as for clients. During this process, data was extracted from various sources, such as external APIs and structured data.

• Data analysis of the company's historical revenue and expense information. This process concluded with a detailed visual analysis and forecasting of the data using the Scikit-learn framework.• Reorganization of historical service information using Microsoft Excel.