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Jan Szczypiński

PROFILE

Jan Szczypiński

Over a three-month period, contributed to the insightsengineering/crane and cards repositories by developing analytics features and improving reliability for clinical trial reporting workflows. Delivered enhancements such as advanced line plotting with ggplot2, customizable summary statistics, and robust survival analysis tools including pairwise Cox proportional hazards tests and censoring indicators in survival quantiles. Focused on R programming and statistical modeling, the work emphasized end-to-end reporting readiness, improved data quality, and consistent output formatting. Addressed bugs in hierarchical sorting and data summarization, strengthened unit testing, and maintained comprehensive documentation, resulting in more interpretable analyses and streamlined data science pipelines for production use.

Overall Statistics

Feature vs Bugs

70%Features

Repository Contributions

16Total
Bugs
3
Commits
16
Features
7
Lines of code
54,764
Activity Months3

Work History

June 2026

1 Commits • 1 Features

Jun 1, 2026

June 2026: Delivered a feature in insightsengineering/crane that adds censoring indicators to tbl_survfit_quantiles outputs. Specifically, min/max survival times are now annotated with an asterisk when censored; added a helper function to detect censoring and updated ARD generation accordingly. Documentation and test snapshots were updated to reflect the change. No major bug fixes in this period; this work enhances interpretability of survival analyses and strengthens test coverage.

May 2026

9 Commits • 2 Features

May 1, 2026

May 2026 monthly summary: Crane delivered critical survival-analysis enhancements and end-to-end reporting readiness, with a strong focus on reliability and business value. Key features include Cox pairwise statistics enhancements (support for multiple p-value computation methods, handling of ties), extended strata support in survival formulas, and enabling tbl_coxph to consume outputs from get_cox_pairwise_df, enabling seamless end-to-end reporting. Additional improvements in statistical table output include refined default statistics for baseline tables, a protect_stat_columns helper to preserve non-breaking spaces in docx output, and corrected zero-recode formatting for consistency across tables. Internal maintenance efforts reduced test flakiness and deprecated usage warnings, including updates tied to Cards and the crane test suite. Cards contributed bug fixes around ard_mvsummary() evaluation of by and strata arguments, providing more reliable summaries. Cross-repo work strengthened data-quality and reporting pipelines, improving decision-support capabilities for survival analyses. Top 3-5 achievements for May 2026: - Cox pairwise statistics enhancements: multiple p-value methods, tie handling, strata support, and tbl_coxph integration. - End-to-end tbl_coxph workflow enabled by get_cox_pairwise_df outputs. - Statistical table formatting upgrades: baseline stat defaults, protect_stat_columns for docx, and zero-recode formatting corrections. - Test suite hardening and deprecation-warning fixes in crane; ard_mvsummary by/strata evaluation fix in cards. - Improved cross-repo data quality and reporting readiness for production dashboards.

April 2026

6 Commits • 4 Features

Apr 1, 2026

April 2026 monthly summary for Insights Engineering; delivered a set of analytics features and reliability improvements across crane and cards repositories, with a focus on business value and robust testing.

Activity

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Quality Metrics

Correctness91.2%
Maintainability81.2%
Architecture82.4%
Performance80.0%
AI Usage40.0%

Skills & Technologies

Programming Languages

R

Technical Skills

Data AnalysisRR programmingStatistical ProgrammingUnit Testingclinical trial reportingdata analysisdata manipulationdata sciencedata visualizationggplot2software developmentstatistical analysisstatistical modelingsurvival analysis

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

insightsengineering/crane

Apr 2026 Jun 2026
3 Months active

Languages Used

R

Technical Skills

R programmingclinical trial reportingdata analysisdata visualizationggplot2statistical analysis

insightsengineering/cards

Apr 2026 May 2026
2 Months active

Languages Used

R

Technical Skills

R programmingdata analysissoftware developmentstatistical modeling