π Hi there, I'm Rishabh Singh, a Geospatial & Data Engineer specializing in sustainability-focused infrastructure planning. I leverage advanced GIS technologies, machine learning, and data analytics to solve complex urban challenges in mining optimization, transportation planning, environmental analysis, and demographic studies.
π― I specialize in ArcGIS Pro/Enterprise, Python, R, QGIS, and IoT integration for real-time spatial analysis. My work spans from mining workflow optimization and social and environmental vulnerability assessments to web scraping electric vehicle data and conducting market analysis and also using natural language processing for public engagement insights in government project docs in the US.
π± I'm currently advancing the application of IOT devices in simple web maps and advanced web mapping applications that use GIS features to understand and display better data and hence create better dashboards too. My projects demonstrate the power of combining geospatial analysis with modern data science to create actionable solutions for industry and government.
π Mining Optimization with GIS - Real-time truck telematics and 3D visualization π Regional Demographics Analysis - Income disparity mapping across Richmond, VA π§ NLP Sentiment Analysis - Public transportation plan feedback analysis β‘ EV Market Intelligence - Delhi electric vehicle adoption trends and infrastructure mapping π‘οΈ Heat Sensitivity Index - Climate vulnerability assessment for urban populations
ποΈ I'm looking to collaborate on projects involving geospatial data science, urban sustainability analytics, mining technology optimization, and climate adaptation planning. If you're working on data-driven solutions for infrastructure, environmental planning, or smart city initiatives, let's connect!
π« Connect with me on LinkedIn or email me at [email protected]. I'm always open to discussing innovative applications of GIS and data science in real-world problem solving.
β‘ Fun fact: My projects have directly supported mining operations efficiency, regional planning decisions, and policy development across multiple states and countries. I believe in making complex spatial data accessible and actionable for decision-makers.
Let's build data-driven solutions that make a real impact! π
