Work Experience
Senior Spatial Data Scientist
Mar. 2021 - May. 2022
Giscaruso, Brazil - remote
- Developed machine learning models, geospatial analysis, and computer vision algorithms for GIS data (satellite imagery, weather data, and others).
- Created and developed pipelines and data dashboards for spatial and temporal analysis of environmental risk assessment of power transmission. Developing everything from data ingestion into the datalake to the development of dashboards for end-users.
- Worked with Python, R, and bash scripting, Azure repo (GIT) for version control, automating processes with the Prefect tool, integrating with the ArcGIS ecosystem, and using Azure cloud services.
Computer Vision Researcher
Dec 2019 - Aug 2022
Instituto Nacional para Convergência Digital - INCoD, Brazil - remote
- Research and developed experiments with Deep Learning approaches - semantic segmentation, object detection, and classification. Also, coordinated a small team of undergraduates.
- Create computer vision datasets, and utility tools such as dataset conversion, model evaluation, and others.
- Worked with Python, GIT, and different libraries and tools, such as PyTorch, Detectron, OpenCV, Fast.ai, HuggingFaces, Weights & Biases, Albumentations, and others.
Undergraduate Research Fellow - Computer vision
2017-2019
Universidade Estadual do Rio Grande do Sul, Brazil
- Developed and evaluated machine learning models for estimating wheat biomass, and computer vision pipelines for UAV images (RGB and multispectral).
- Created computer vision datasets for precision agriculture with UAV images.
- Worked with Python (OpenCV, scikit-learn, Keras), GIT, and QGIS.