Caio Bernardo

Apply data analysis to complex business problems, connecting business requirements with technical needs and supporting data-driven decision making. Develop data analysis and visualization using Python, SQL, Databricks and Tableau.

Worked with data analysis and business requirements in a complex operational environment, translating analytical needs into practical solutions.

Applied data analysis to support fraud prevention initiatives and developed analyses and visualizations using Python, SQL, Databricks and Tableau.

Used data analysis to support data monetization and developed dashboards and market insights across diverse economic sectors. Worked with Tableau, Power BI, Python and SQL for data acquisition, analysis and visualization.

Conducted research developing deep learning models to classify species from birds, insects and anurans using acoustic datasets.

Developed market-data analysis and visualizations according to client interests using SQL, Python, Tableau and Microsoft Power BI.

Researched autonomous vehicles, focusing on reinforcement learning algorithms to develop a driver model. Investigated artificial attacks against the developed models and approaches for defending machine learning models.

Served in an administrative leadership role within the Grupo Escoteiro Professora Inah de Mello, supporting institutional administration and organizational activities, such as strategic planning.

Coordinated institutional and scouting events involving 50–1,500 participants. Coordinated a team of six people in event planning and execution.

Led approximately 40 volunteers, with responsibilities for people management, strategic planning and organizational governance. Supported institutional planning, accountability and strategic initiatives.

Master's in Artificial Intelligence with research focused on visualization of acoustic data and development of Maui Software, a visualization framework for ecoacoustic data.

Bachelor's in Computer Science from the University of São Paulo.