Priyanka Tuteja
Principal Product Engineer at Esri
New Delhi, Delhi, India
Summary
🤩
Rockstar🎓
Top SchoolPriyanka Tuteja is a Principal Product Engineer with 8 years of experience applying AI, deep learning, and data science to location intelligence across remote sensing, urban planning, and government domains. At Esri she authors practical sample notebooks and documentation, contributes to the widely used arcgis-python-api (including a geospatial crime analysis notebook), and champions robust engineering practices with unit testing and CI-focused workflows. A certified Scrum Master, she blends agile product ownership with hands-on model development and rapid technical support for high-priority issues. Her foundation in mathematics and continued study in applied data science underpin a pragmatic approach to turning research into production-ready GIS solutions. Outside work she pursues nature-driven hobbies—birdwatching, stargazing, and upcycling—that subtly inform her creative problem solving.
7 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology MadrasMaster's degree, Mathematics, Master's degree, Mathematics at Master of Science in Mathematics, Meerut UniversityUniversity of Delhi
Github Skills (7)
data-visualizations10
data-visualization10
data-visualisation10
spatial-data-analysis10
python10
data-science10
jupyter-notebook9
Programming languages (1)
Github contributions (5)
Esri/arcgis-python-api
Feb 2019 - Jan 2023
Documentation and samples for ArcGIS API for Python
Role in this project:
Data Scientist
Data ScientistContributions:172 reviews, 95 commits, 245 PRs in 3 years 11 months
Contributions summary:Priyanka's commits center on adding a sample notebook designed for analyzing violent crime. This involved the integration of geospatial analysis techniques to find potential correlations between violent crimes and liquor establishments. The user demonstrated expertise in using the ArcGIS API for Python by utilizing spatial analysis methods like hot spot analysis, feature overlay, data enrichment, and spatial selection. The code enhancements also include updates to the notebook's introduction and table of contents.
apiarcgispythonjupyterlab-extensiondata-science
priyankatuteja/spatialdatascience
Jun 2018 - Jul 2020
Contributions:109 commits, 96 pushes in 2 years 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.