Data Science

Extract structured and unstructured data. Query structured data from relational databases using programming languages such as SQL. Gather unstructured data through web scraping, APIs, and surveys. sophisticated analytical methods, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling clean data to discard irrelevant information and prepare the data for preprocessing and modeling. Perform exploratory data analysis to determine how to handle missing data and to look for trends and/or opportunities. Communicate predictions and findings to management and IT departments through effective data visualizations and reports. GIS and cartography consulting and developing services. Development and management of SDI (Spatial Data Infrastructures).

Technical resources and equipment
  • Software developed in-house using Python, R, Java, Bash shell scripts.
  • Software used in Spatial Data Infrastructure (SDI): GeoServer, PostgreSQL/PostGIS, QGIS, ArcGIS, GDAL, GeoNode, GeoNetwork.