I'M
JOÃO
ATAÍDE.

Data Scientist/Computer Vision Engineer

At Esri, as a Computer Vision Engineer and Data Scientist, I have contributed to solutions that integrate the analytical and spatial capabilities of ArcGIS with the accuracy and adaptability of Machine Learning and Deep Learning models. My main focus is to provide effective spatial data science solutions.

• Successfully implemented a wide range of Machine Learning and Deep Learning models, such as lamp detection and counting in nighttime images with 98% accuracy, a Mask RCNN model for roof counting in satellite images, achieving counting accuracy of over 93% and above 85% in subnormal areas, and a classification and segmentation model for land use and land cover using optical and radar images with Python, ArcGIS, SANP, and PyTorch.

• Designed a spatial Machine Learning model for predicting fraud and clandestine connections in building connections, which resulted in significant financial returns for distribution companies.

• Collaborated on the development of a solution for integrating and automating the execution of deep learning models on satellite images, including optical, SAR (Radar), Lidar, Drone, and other data sources, enhancing the efficiency of our analysis systems and providing new perspectives to clients.

• Actively participated in the design and development, with technical leadership, of a mathematical optimization project for team management and resource allocation, employing Python, ArcGIS, Pyomo, SQL, and Oracle. Contributed to continuous improvement in operational efficiency.