Caner Irfanoglu is a Senior Data Engineer based in Montreal with nine years of experience turning engineering, analytics, and finance domain knowledge into production-ready data solutions. He progressed from data analyst roles at Merck to engineering positions at Data Sciences, now leading data infrastructure and pipeline design. Caner blends practical ML deployment experience—having containerized models on Azure and Docker during a Plotly internship—with strong visualization chops, contributing full-stack work to Plotly's dash-sample-apps repository. His background in chemical engineering, an MBA, and an MS in Computing & Data Analytics gives him a multidisciplinary perspective for solving complex business problems. He is comfortable across R and Python ecosystems, Git-based collaboration, and end-to-end data workflows that prioritize reproducibility and operationalization. A detail that sets him apart is his combination of hands-on dashboarding and production deployment experience, enabling both immediate insights and scalable delivery.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computing & Data Analytics, Master of Science - MS Computing & Data Analytics at Saint Mary's University
Master of Business Administration - MBA Business Administration and Management General, Master of Business Administration - MBA Business Administration and Management General at Southern States University
Bachelor of Science (BS) Chemical Engineering, Bachelor of Science (BS) Chemical Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Contributions:54 commits, 14 PRs, 100 pushes in 2 months
Contributions summary:Caner's commits primarily involve integrating new files and modifying existing ones within the `dash-sample-apps` repository. Specifically, they added project files and integrated the `dashr-uber-rides` application. The changes also include importing the `lubridate` library and modifying the `app.R` file, demonstrating a focus on application development and integration using Dash and related R packages. Further modifications included data loading, formatting, and callback functions.
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