About this Candidate
DAVRON CV: Candidate 1921704
GIS & Data Analyst | Geospatial Databases, Mapping & Visualization
Core Expertise
- Geospatial data management and maintenance of mapping databases for accurate map production.
- Cartographic production and map visualization using ArcGIS Pro and ArcMap workflows.
- SQL-driven data extraction, transformation, and reporting for spatial and tabular datasets.
- Dashboard and visual analytics creation with Power BI and Tableau to support decisions.
- Completed Google Data Analytics professional coursework, reinforcing reproducible analytics and data pipeline skills.
Project Background
- Maintained and updated school district spatial databases and delivered customized maps to stakeholders.
- Coordinated cross-department data collection and communication to support multi-agency mapping initiatives.
- Developed dashboard visualizations and reports to translate geospatial data into actionable insights.
- Implemented SQL queries and Python scripts to streamline data processing and reduce manual effort.
- Applied field logistics and team coordination experience to support time-sensitive data collection and delivery.
Key Skills
- ArcGIS Pro | ArcMap | ESRI ArcGIS suite
- MapInfo (Pitney Bowes)
- SQL | SQL Server Management Studio | relational databases
- Python | data scripting and automation
- Power BI | Tableau | dashboarding and data visualization
- ETL & reporting (SSIS | SSRS | SSAS) | spreadsheets
- Detail-oriented analysis and pattern recognition
Education
- Google Data Analytics Professional Certificate — Coursera; Colaberry Data Analytics Course
- B.S., Geography — University of Regina
Why Interview this Candidate?
An early-career GIS and data analytics professional with hands-on experience maintaining mapping databases and producing map products. Demonstrates strong technical skills in ArcGIS, SQL, Python, Power BI, and Tableau, plus formal data analytics training. Brings attention to detail, clear communication across stakeholders, and practical field logistics experience to support mapping and analytics teams.
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