Narges Sayah
Graduate Research Assistant @ University of Victoria
About
Narges is a data enthusiast with a cross-disciplinary background in analytics, infrastructure, and research. Her work focuses on building reliable data systems that support decision-making, grow with demand, and remain transparent to the stakeholders. She has contributed to projects in public health, environmental science, and applied HCI by designing and maintaining pipelines that support operational and exploratory analyses. Her experience spans both cloud and on-prem environments, with a focus on making data workflows robust, observable, and easy to extend. Technology Stack: Python, Python, SQL, T-SQL, PySpark, Dask, Databricks, dbt, Snowflake, Hadoop, Azure Data Factory, Microsoft Fabric, Azure DevOps, Terraform, GitHub Actions, SSIS, SQL Server, Power BI, Tableau, Docker, Jupyter, HPC (SLURM), TensorFlow, PyTorch, Keras
Canada
Vancouver
Computer Software
AI Dental Assistant, PySpark, Azure Databricks, Terraform, Hadoop, Transact-SQL (T-SQL), Azure Data Factory, Azure DevOps Server, Azure Data Lake, Microsoft SQL Server, Convolutional Neural Networks (CNN), Healthcare Analytics, Reinforecement learning, Software Deployment, Game Theory, Algebra, Geometry, Robot Programming, SQL Server Management Studio, SQL Server Integration Services (SSIS)
Experience

Data Analyst
Victoria, BC
• Delivered insights into climate impacts to the BC government. • Developed new indices for delicate hydrologic impacts using Bayesian inference and regression models. • Accelerated analysis of huge climate datasets using High-Performance Computing and batch processing. • Interpreted the multidimensional NetCDF results through interactive visualization using NCView tool.
Narges Sayah's Contact Information
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