Shreyas Ragavan is an Analyst in Machine Learning Operations based in Vancouver with 11+ years of techno-commercial experience applying data engineering, analytics and ML to product and business problems. He has driven end-to-end analytics solutions—from R/Shiny dashboards and reproducible Docker workflows to production ML model tuning and KPI-driven pipelines—helping teams save hundreds of hours in manual analysis. His background spans manufacturing and process engineering to marketing analytics, giving him a practical edge in turning messy domain data into actionable insights and deployable tooling. Notably, he built a job-scheduling cluster and automation tooling for CFD workloads and has open-source artifacts that reflect his focus on reproducibility and efficiency. Comfortable across SQL, R, Python and DevOps stacks, he blends hands-on implementation with a knack for techno-commercial decision making.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.), Automotive Design Engineering, 72, Bachelor of Technology (B.Tech.), Automotive Design Engineering, 72 at University of Petroleum and Energy Studies
MSc (Engg), Advanced Mechanical Engineering, Merit (2:1), MSc (Engg), Advanced Mechanical Engineering, Merit (2:1) at University of Leeds
Contributions:141 commits, 102 pushes, 12 branches in 4 years 5 months
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Shreyas Ragavan - Analyst Machine Learning Ops at Definity