
Worked on the insightsengineering/tern repository to enhance statistical analysis capabilities by implementing the Cochran-Mantel-Haenszel proportion difference confidence interval method using the Sato variance estimator. Leveraging R programming and statistical analysis skills, introduced flexible formatting options for the analyze_vars function, including a default format and a formats_var argument, which streamlined reporting and allowed greater customization for analysts. Collaborated across teams and managed internal branches to address CI/CD challenges, ensuring smooth integration of new features. The work focused on improving analytics workflows and reducing downstream formatting effort, demonstrating depth in both statistical methodology and practical data visualization within the R ecosystem.
December 2025 monthly summary for insightsengineering/tern: Delivered enhancements to statistical analysis, focusing on rigorous CMH proportion difference confidence intervals via the Sato variance, and improved formatting flexibility for analyze_vars with a default format and a formats_var argument. These changes strengthen analytics capabilities, improve reporting customization, and reduce downstream formatting work for analysts. Work was executed through internal branches to address CI/CD challenges, with cross-team collaboration and merged PRs.
December 2025 monthly summary for insightsengineering/tern: Delivered enhancements to statistical analysis, focusing on rigorous CMH proportion difference confidence intervals via the Sato variance, and improved formatting flexibility for analyze_vars with a default format and a formats_var argument. These changes strengthen analytics capabilities, improve reporting customization, and reduce downstream formatting work for analysts. Work was executed through internal branches to address CI/CD challenges, with cross-team collaboration and merged PRs.

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