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Thomas Pin is an experienced data scientist currently serving as a Data Scientist II at PagerDuty, where key projects include developing a customer churn model, enhancing Salesforce data accuracy significantly, and creating a territory strategy model in collaboration with multiple stakeholders. Proficient in various programming and analytical tools such as Snow SQL, PySpark, Python, and machine learning frameworks, Thomas has a robust background in data analysis and predictive modeling. Previous roles include data science internships and operations data analysis, contributing to substantial improvements in operations and budget efficiencies. Thomas holds a Master of Data Science from The University of British Columbia and has a Bachelor of Business Administration from Simon Fraser University.