I build decision-support analytics for public-sector and environmental problems. That usually means reproducible data workflows (Python/R/SQL), geospatial analysis, and practical governance + quality controls so the outputs hold up in real operations.

My edge is the combination of analytics + geospatial + data governance — I ship work as dashboards, maps, and decision-ready briefs that stay reliable in multi-team, multi-system environments.

• Data science + analytics engineering: data cleaning/validation, SQL modeling, KPI design, automated pipelines, and dashboards
• GIS + spatial analytics: ArcGIS/QGIS/PostGIS workflows, spatial joins, hotspot-style analysis, map-based decision products
• Data governance in practice: standards, SOPs, access controls, quality checks, and adoption tools across complex organizations

• Data Governance Functional Model (City of Toronto): turning governance into operational procedures, controls, and decision products
• Environmental + water analytics: trends, anomalies, and monitoring dashboards for large public datasets

analytics engineering · data quality controls · spatial analysis · decision support · governance tooling

Python · R · SQL (PostgreSQL/PostGIS) · Power BI/Tableau · Streamlit · ArcGIS/QGIS

📫 How to reach me: www.linkedin.com/in/sima-saadi | sima.saadi@torontomu.ca

📊 Dashboard Gallery (Streamlit)