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.

I use GitHub to demonstrate practical data governance delivery: operating models, stewardship workflows, metadata and lineage design, data quality controls, access governance, AI governance, and analytics engineering pipelines. The work here is focused on turning governance from policy into usable operating tools, measurable controls, and practices that teams can adopt.

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)