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- Mapped and standardized key performance indicators (KPIs) across multiple business units.- Automated commercial dashboards using Python and Power BI, enhancing decision-making efficiency.- Led the redesign of the data architecture, implementing Databricks on Azure to improve scalability and performance.- Collaborated with cross-functional teams to streamline data processes and optimize reporting systems.

- Developed a new layer of contextual intelligence and forecasting for the company's freight andcommodities markets.- Collaborated with the product team to improve analytics and data product offerings.

Development of a model to extract a set of data points in a standardized database from unstructured documents to help users automate the response to their ESG (Environment, Social, Governance) requests.

Title: "Ethics and Machine Learning: a Algorithm Implementation".Research in Ethics, Machine Learning, Fairness and how to mitigate bias in decision-making algorithms.

Administered and represented the IEEE Student Branch in order to ensure the achievement of its objectives, helping to coordinate the members of the Branch, monitoring and participating in the developments of each Chapter and in carrying out events and activities. Exercising the role of Treasurer-Administrative, managed and carried out all payments and expenses authorized by the Executive Board and produced in the activities of the Branch, making all documents that involve such tasks, in addition to ensuring the financial health of the institution.

Participated as a member of the institution, promoting the development of activities that bring students and teachers closer to practical approaches on engineering themes and other works that diversify and make the relationship between the academic environment and society more dynamic.

Participated as a member of the group with the aim of spreading ideas about electric energy and bringing practical knowledge about engineering to various sectors of society, thus spreading opportunity and access.

As a event management member, participated in the organization and realization of the 2018 and 2019 editions of the IEEE Day event. The event contains several activities at the university that promote good technical development, such as lectures, discussions, short courses and scientific fairs, in order to promote and celebrate the theme “Leveraging Technology for a Better Tomorrow”.