I worked as a database administrator for two decades, an experience that fueled research involving large volumes of data. In 2018, I presented a thesis at COPPE/UFRJ defending the possibility of inferring origin-destination matrices through mobile phone records. To prove this theory, I used a database of phone calls from 2014 to estimate daily matrices and reveal mobility patterns, both on normal days and in atypical situations, in the Metropolitan Region of Rio de Janeiro. Data from the 2010 Census were used to adjust for population expansion factors. By identifying users' residences, it was possible to create two transportation matrices: Home-Based All (HBA) and Non-Home Based (NHB). The analysis revealed changes in population habits during long holidays. The trip count validation was performed using the transportation database, and the results were consistent with official estimates.

Areas of interest: 

• Data Governance and AI
• Data Engineering
• Public Transportation