Rishi Victor

GIS Analyst • ArcGIS Pro / QGIS • Spatial Analysis & Cartography • Environmental & Planning Data • Python / SQL

Talent

St PaulMember since July 14, 2026

ArcGIS ProArcGIS OnlineQGISExperience BuilderArcGIS DashboardsGeoPandasSpatial joinsBufferingGeodatabase managementPythonPandasNumPyMatplotlibArcPySQLTableauPower BISymbologyLiterature review

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ArcGIS ProArcGIS OnlineQGISExperience BuilderArcGIS Dashboards

About

GIS and Data Science graduate with two internships and multiple project-based GIS applications across environmental analysis, urban planning, climate risk, and infrastructure mapping. Proficient in ArcGIS Pro, ArcGIS Online, QGIS, and GeoPandas for spatial analysis, geodatabase management, map production, and data quality control. Skilled in Python (ArcPy, Pandas, Matplotlib), SQL, R, Tableau, and Power BI for spatial data processing and visualisation.

Experienced producing high-quality client-facing maps, reports, and dashboards — and communicating geospatial findings clearly to technical and non-technical audiences. Strong attention to detail, collaborative work ethic, and genuine enthusiasm for applying GIS skills to environmental and infrastructure challenges.

Experience

Junior Researcher – GIS & Spatial Analysis - RMSI (Multinational)

(2025-07 - 2025-08)

Collected, analysed, and managed geospatial data across 50+ locations using ArcGIS Pro and Python — processing large-scale environmental and climate datasets to produce spatial analysis outputs for client project teams.
Created high-quality maps, visualisations, and spatial reports for internal teams and client stakeholders — generating 25+ unique geospatial products that improved data accessibility and reduced client decision-making time by 30%.
Maintained and updated GIS databases, layers, and attribute records with systematic QC: geometry integrity checks, attribute completeness validation, and cross-dataset consistency review — ensuring accuracy of all geospatial deliverables.
Performed spatial analysis to identify trends, patterns, and risk insights across flood and climate datasets — supporting environmental risk assessment and project prioritisation for client teams.
Built Python-automated data workflows (Pandas, NumPy, Matplotlib) to streamline geospatial data processing — improving analysis efficiency by 30% and maintaining consistent data quality standards across concurrent deliverables.

Research Assistant – GIS & Data Science - Online

(2024-06 - 2024-08)

Supported environmental and urban planning projects by collecting, processing, and visualising 500GB+ of spatial data — preparing map graphics and GIS analysis products to client specifications for policy and planning stakeholders.
Created client-facing maps and dashboards in Tableau and Power BI presenting spatial planning insights — improving project workflow efficiency by 20% and data processing speed by 15%.
Collaborated with engineers, environmental researchers, and project managers to deliver accurate, timely geospatial outputs across multiple concurrent project workstreams.
Conducted literature reviews and gathered background research data for environmental and planning project documentation — developing written communication and technical reporting skills.