Data analyst and urban planner working at the intersection of spatial analytics, policy, and applied research.

I work with large, complex urban, environmental, and demographic datasets to uncover patterns, build analytical models, and communicate insights through maps, dashboards, and data visualizations. My work focuses on translating spatial and operational data into clear, decision-ready insights that support real-world planning, policy, and operational decision making.In my current role as an Urban Planner and Data Analyst in environment and freshwater policy, I conduct large-scale spatial and statistical analysis using datasets such as Ontario’s Permit to Take Water and Great Lakes DataStream. I use Python, SQL, R, and enterprise GIS tools to integrate data from multiple sources, clean and structure datasets, and produce analytical outputs that support long-range planning, infrastructure and land-use analysis, and environmental decision making.I have applied these skills across municipal and academic environments, including projects with the City of Toronto and Toronto Metropolitan University. This work has included developing dashboards and analytical maps, building automated and reproducible workflows, and contributing to data-governance and system-integration initiatives that improve data quality, usability, and cross-divisional decision support.My technical toolkit includes ArcGIS, QGIS, PostGIS, Python, R, SQL, Tableau, and Power BI, and I work comfortably across quantitative, qualitative, and mixed-methods research. At the core of my work is a simple goal: using data and spatial analysis to explain patterns, solve complex problems, and support better, evidence-based decisions.