OHDSI/Data2Evidence
May 2025 – Feb 2026
7 Months active
Languages Used
JavaScriptTypeScriptYAMLDockerfileRSQLCSV
Technical Skills
API DevelopmentBackend DevelopmentDockerEnvironment ConfigurationLLM IntegrationContainerization
amit-sharma-d4l
PROFILE
Amit-sharma-d4l
Amit Sharma contributed to the OHDSI/Data2Evidence repository by building and enhancing data analysis and visualization features for cohort research workflows. Over seven months, Amit developed modules such as LLM-powered data mapping to OMOP CDM, integrated survival analytics, and expanded the Shiny Result Viewer with statistical summaries and cohort selection. He applied R, JavaScript, and Docker to implement backend services, containerized deployments, and end-to-end UI testing, ensuring robust data standardization and reproducible analytics. Amit’s work addressed deployment reliability, improved user experience for researchers and administrators, and strengthened platform stability, demonstrating depth in full stack development and data-driven application engineering.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
18Total
Bugs
3
Commits
18
Features
12
Lines of code
2,205
Activity Months7
Your Network
13 peopleSame Organization
@data4life-asia.care6
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered a new Table 1 module in the Shiny Result Viewer within OHDSI/Data2Evidence, enabling cohort selection and formatted statistical summaries to improve data accessibility and decision support. The feature was integrated into the existing Shiny template (commit 2b02019f4f7cc0c9f2e8807e72af54c8840c4219), with no major bugs reported this month.
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered a new Table 1 module in the Shiny Result Viewer within OHDSI/Data2Evidence, enabling cohort selection and formatted statistical summaries to improve data accessibility and decision support. The feature was integrated into the existing Shiny template (commit 2b02019f4f7cc0c9f2e8807e72af54c8840c4219), with no major bugs reported this month.
February 2026
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for OHDSI/Data2Evidence. Focused on delivering Cohort Survival integration in the Result Viewer and stabilizing the Result Viewer template. Key deliverables include SQL and plotting enhancements to support the new CohortSurvival data structure, a Dockerfile dependency update for RPostgres to enable the cohort survival module, and a bug fix that removed problematic commented lines from the Result Viewer template. These changes were implemented through the following commits: 870ac27008324d9b552d4bea32240d65ac8eadb1, 4b4700cb4c85584958371bd58c923da093bb866f, and 181b21e206c75a9bc59e1a72af811b63dd687501.
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for OHDSI/Data2Evidence. Focused on delivering Cohort Survival integration in the Result Viewer and stabilizing the Result Viewer template. Key deliverables include SQL and plotting enhancements to support the new CohortSurvival data structure, a Dockerfile dependency update for RPostgres to enable the cohort survival module, and a bug fix that removed problematic commented lines from the Result Viewer template. These changes were implemented through the following commits: 870ac27008324d9b552d4bea32240d65ac8eadb1, 4b4700cb4c85584958371bd58c923da093bb866f, and 181b21e206c75a9bc59e1a72af811b63dd687501.
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for OHDSI/Data2Evidence focused on delivering higher quality configuration workflows and enhanced analytics capabilities. Key outcomes include expanded test coverage for configuration-related processes and the integration of Strategus analytics tools into the MCP server, enabling more reliable validation and deeper study insights.
3 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for OHDSI/Data2Evidence focused on delivering higher quality configuration workflows and enhanced analytics capabilities. Key outcomes include expanded test coverage for configuration-related processes and the integration of Strategus analytics tools into the MCP server, enabling more reliable validation and deeper study insights.
December 2025
October 2025
4 Commits • 4 Features
Oct 1, 2025October 2025: Expanded automated end-to-end testing coverage for OHDSI/Data2Evidence, focusing on admin and researcher workflows to reduce regression risk and improve data governance and cohort management.
October 2025
4 Commits • 4 Features
Oct 1, 2025October 2025: Expanded automated end-to-end testing coverage for OHDSI/Data2Evidence, focusing on admin and researcher workflows to reduce regression risk and improve data governance and cohort management.
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025 delivered targeted improvements and reliability enhancements for OHDSI/Data2Evidence, focusing on deployment accuracy, analytics visualization, and test automation. Key outcomes include a Docker image installation fix to ensure the correct TreatmentPatterns package version, an enhancement of Cohort Survival visualizations with Kaplan-Meier support and a dataset-based sunburst selector, and expanded end-to-end UI tests for Concepts and Datasets pages to improve regression safety. These efforts reduce deployment risk, accelerate data analysis workflows, and strengthen overall product quality and usability.
4 Commits • 2 Features
Sep 1, 2025September 2025 delivered targeted improvements and reliability enhancements for OHDSI/Data2Evidence, focusing on deployment accuracy, analytics visualization, and test automation. Key outcomes include a Docker image installation fix to ensure the correct TreatmentPatterns package version, an enhancement of Cohort Survival visualizations with Kaplan-Meier support and a dataset-based sunburst selector, and expanded end-to-end UI tests for Concepts and Datasets pages to improve regression safety. These efforts reduce deployment risk, accelerate data analysis workflows, and strengthen overall product quality and usability.
September 2025
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 (OHDSI/Data2Evidence) focused on enabling end-to-end survivorship analyses in Strategus and strengthening platform stability across containers and dependencies. Key features delivered include the CohortSurvival integration into Strategus with Dockerfile updates to include the CohortSurvival module, verification that the d2e Strategus image contains it, updates to dependency checks, and the resolution of a duplicate CohortIncidence module. In parallel, the TreatmentPatterns R package was upgraded to version 3.1.1 in both the R ohdsi kernel and Hades flow container, resolving compatibility issues with Strategus and stabilizing the Hades flow container. These changes reduce deployment risk, improve runtime reliability of survival analytics, and lay groundwork for smoother future module integrations.
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 (OHDSI/Data2Evidence) focused on enabling end-to-end survivorship analyses in Strategus and strengthening platform stability across containers and dependencies. Key features delivered include the CohortSurvival integration into Strategus with Dockerfile updates to include the CohortSurvival module, verification that the d2e Strategus image contains it, updates to dependency checks, and the resolution of a duplicate CohortIncidence module. In parallel, the TreatmentPatterns R package was upgraded to version 3.1.1 in both the R ohdsi kernel and Hades flow container, resolving compatibility issues with Strategus and stabilizing the Hades flow container. These changes reduce deployment risk, improve runtime reliability of survival analytics, and lay groundwork for smoother future module integrations.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for OHDSI/Data2Evidence: Delivered the initial LLM-powered data mapping feature to map non-OMOP datasets to the OMOP CDM, including environment variable configuration and service infrastructure setup. The feature changes were merged into the develop branch. No major bugs documented this month. Impact: accelerates data standardization for research, enabling faster onboarding of diverse data sources and reproducible analyses. Skills demonstrated: LLM integration, data standardization to CDM, environment/configuration management, and collaborative DevOps.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for OHDSI/Data2Evidence: Delivered the initial LLM-powered data mapping feature to map non-OMOP datasets to the OMOP CDM, including environment variable configuration and service infrastructure setup. The feature changes were merged into the develop branch. No major bugs documented this month. Impact: accelerates data standardization for research, enabling faster onboarding of diverse data sources and reproducible analyses. Skills demonstrated: LLM integration, data standardization to CDM, environment/configuration management, and collaborative DevOps.
May 2025
Activity
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Quality Metrics
Correctness92.2%
Maintainability87.8%
Architecture85.6%
Performance86.6%
AI Usage25.6%
Skills & Technologies
Programming Languages
CSVDockerfileJavaScriptRSQLTypeScriptYAML
Technical Skills
API DevelopmentAPI integrationAdmin Portal TestingBackend DevelopmentCohort ManagementContainerizationData Analysis PlatformData VisualizationDatabase InteractionDatabase ManagementDependency ManagementDevOpsDockerEnd-to-End TestingEnvironment Configuration
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