Summary
Roy Saavedra is a Senior Data Scientist based in Ottawa with eight years of experience applying machine learning and data engineering to government programs and audits. At the Canada Revenue Agency he designs and operationalizes analytics pipelines, NLP classifiers and cloud-deployed prototypes to support internal audit, evaluation and risk assessment across large institutional datasets. His background at Statistics Canada and the Treasury Board includes survey automation, SAS/R pipelines, and practical use of Azure, Transformers and model deployment to turn textual and administrative data into actionable insights. Roy pairs technical depth (SVMs, XGBoost, BERT/T5, R Shiny) with a strong focus on data quality, reproducible processes and embedding analytics into decision workflows—skills he honed while building tools used by 70+ auditors and across federal programs. Outside work he channels the same focus into rock climbing, reflecting a problem-solving mindset and steady persistence.
8 years of coding experience
4 years of employment as a software developer
Ontario Secondary School Diploma, Ontario Secondary School Diploma at St. Jean de Brebeuf Catholic High School
Bachelor of Social Science, Economics, Bachelor of Social Science, Economics at University of Ottawa
English