Alberto Nieto
Product Engineer - Spatial Statistics
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolAlberto Nieto is a Product Engineer specializing in spatial statistics with a decade of experience applying GIS, Python, and spatial data science to real-world problems. Based in the Washington DC–Baltimore area, he researches and builds analytical tools at Esri, designing, testing, documenting, and evangelizing spatial methods and visualizations for both practitioners and decision-makers. His background spans enterprise GIS development at Capital One and NOAA-focused workflows, where he automated complex geoprocessing pipelines and managed operational data services. Alberto is an active contributor to Esri’s arcgis-python-api, producing Jupyter Notebook workshops that demonstrate practical spatial analysis—such as identifying critical bridges—showcasing both teaching and hands-on analytical skills. He pairs a Master’s in Analytics from Georgia Tech with field experience in satellite operations and configuration management, which gives him a rare blend of rigorous analytics, systems thinking, and operational reliability. Colleagues rely on him to translate cutting-edge spatial research into production-ready tools that improve organizational decision-making.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Analytics, Master of Science - MS, Analytics at Georgia Institute of TechnologyBachelor's degree, GIS, Bachelor's degree, GIS at University of Florida
Spanish
Github Skills (8)
pandas10
jupyter-notebook10
gis10
arcgis10
python10
jupyter10
data-science10
spatial-data9
Programming languages (2)
Github contributions (5)
Esri/arcgis-python-api
Jul 2018 - Sep 2018
Documentation and samples for ArcGIS API for Python
Role in this project:
Data Scientist
Data ScientistContributions:12 commits, 2 PRs in 1 month
Contributions summary:Alberto contributed a significant amount of code related to a Jupyter Notebook, specifically for a workshop on spatial data analysis and data science. The commit showcases the user's skills in analyzing bridges, including exploration of bridge data, accessing and querying feature services, and utilizing data analysis techniques to identify critical bridges. The primary focus of the contribution is to demonstrate spatial analysis techniques using the ArcGIS API for Python.
apiarcgispythonjupyterlab-extensiondata-science
Qberto/qberto.github.io
Dec 2017 - Nov 2024
Contributions:61 pushes, 1 branch in 6 years 11 months
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