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Sujay Damani is a data analyst with extensive experience in data visualization, pipeline creation, and programming. Currently employed at Ludia since July 2021, Sujay utilizes DBT and Tableau to create data pipelines and visualize data, while also automating tasks with Databrick scripts. Previous roles include a scientific programmer at Environment and Climate Change Canada, where Python scripts were enhanced for 3D spatial data, and data analyst positions at Dribbble and the Ministry of Education, focusing on data visualization and analysis. Sujay began a career as a data scientist at the BC Ministry of Children and Family Development, converting FoxPro code to Python. Sujay holds a Bachelor of Science degree in Computer Science from the University of Victoria.