tfojo1/jheem_analyses
Oct 2024 – Apr 2026
16 Months active
Languages Used
RSQLRdataShellExcelPowerPointdocxNone
Technical Skills
CachingData CleaningData ManagementData ProcessingOntology ManagementR Programming
Zoe Dansky
PROFILE
Zoe Dansky
Zoe Dansky developed and maintained the tfojo1/jheem_analyses repository over 16 months, delivering robust data pipelines and analytics for public health surveillance. She engineered workflows for integrating, cleaning, and standardizing large-scale health datasets, focusing on syphilis, HIV, and Medicaid analytics. Using R, SQL, and metadata-driven configuration, Zoe implemented ontology alignment, data aggregation, and quality assurance processes to ensure reliable reporting and scalable analytics. Her work included documentation management and code organization, supporting maintainability and onboarding. By addressing data quality, governance, and interoperability, Zoe enabled more accurate program monitoring and evidence-based decision-making across diverse public health domains.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
481Total
Bugs
65
Commits
481
Features
172
Lines of code
36,574
Activity Months16
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22 peopleShared Repositories
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Andrew ZalesakMember
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Lauren ZallaMember
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Work History
April 2026
1 Commits
Apr 1, 2026April 2026 monthly summary for tfojo1/jheem_analyses. Focused on improving maintainability and governance through a documentation update in the Data Processing: MSA Exclusion filter. No functional changes introduced.
1 Commits
Apr 1, 2026April 2026 monthly summary for tfojo1/jheem_analyses. Focused on improving maintainability and governance through a documentation update in the Data Processing: MSA Exclusion filter. No functional changes introduced.
April 2026
March 2026
37 Commits • 19 Features
Mar 1, 2026Month: 2026-03 Concise monthly outcomes for jheem_analyses: - HIV surveillance enhancements: Extended the proportion.tested.for.hiv workflow to include sex dimensions (male, female, MSM), removed the risk dimension, and aligned ontologies across datasets using brfss.shield, enabling more accurate cross-dataset comparisons. - Ontology and data-model harmonization: Updated to ensure consistent ontologies for proportion.tested.for.hiv across related data, improving data interoperability and analytics accuracy. - Metadata, documentation, and data quality: Syphilis data manager metadata updates, additional metadata refinements, documentation updates, and creation of an outlier history doc; included removal of DC ps.syphilis outliers to improve data quality. - Expanded data manager coverage and stability: Ryan White data manager enhancements including new FL/VA data, documentation, and sourcing of new code; multiple bug fixes to improve reliability. - Data ingestion and processing improvements: Atlas data file updates for HIV surveillance, AIDS VU prep data additions with age-ontology alignment, CDC Wonder ingestion with MSA aggregations; updated MSA codes and related docs; Q root processing updates; QA process simplification; and general bug fixes to maintain data pipeline integrity. - Data correctness and resilience: Fixes for year value data issue and corrected errors arising from updated data in multiple components, contributing to higher trust in dashboards and reports.
March 2026
37 Commits • 19 Features
Mar 1, 2026Month: 2026-03 Concise monthly outcomes for jheem_analyses: - HIV surveillance enhancements: Extended the proportion.tested.for.hiv workflow to include sex dimensions (male, female, MSM), removed the risk dimension, and aligned ontologies across datasets using brfss.shield, enabling more accurate cross-dataset comparisons. - Ontology and data-model harmonization: Updated to ensure consistent ontologies for proportion.tested.for.hiv across related data, improving data interoperability and analytics accuracy. - Metadata, documentation, and data quality: Syphilis data manager metadata updates, additional metadata refinements, documentation updates, and creation of an outlier history doc; included removal of DC ps.syphilis outliers to improve data quality. - Expanded data manager coverage and stability: Ryan White data manager enhancements including new FL/VA data, documentation, and sourcing of new code; multiple bug fixes to improve reliability. - Data ingestion and processing improvements: Atlas data file updates for HIV surveillance, AIDS VU prep data additions with age-ontology alignment, CDC Wonder ingestion with MSA aggregations; updated MSA codes and related docs; Q root processing updates; QA process simplification; and general bug fixes to maintain data pipeline integrity. - Data correctness and resilience: Fixes for year value data issue and corrected errors arising from updated data in multiple components, contributing to higher trust in dashboards and reports.
February 2026
20 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for tfojo1/jheem_analyses highlighting key features delivered, major bugs fixed, and overall impact with a focus on business value and technical excellence.
20 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for tfojo1/jheem_analyses highlighting key features delivered, major bugs fixed, and overall impact with a focus on business value and technical excellence.
February 2026
January 2026
3 Commits • 2 Features
Jan 1, 2026Month: 2026-01 | Repository: tfojo1/jheem_analyses | This month focused on improving documentation maintainability and enabling more granular public health data analysis. Key outcomes include a refreshed documentation structure, targeted fixes in docs, and the groundwork for MSAs-based aggregation of county-level syphilis data. What was delivered: - Documentation Structure Refresh and Update: Reorganized structure, added new files, removed outdated ones; includes placeholder commit to document non-substantive changes. Relevant commits: 176f017f2fd0b1620084f34474db8e7497a00df1 (updating documentation location) and f975374e2b28854f321ba2fb044707ae9c0250a8 (fixing error). - County-to-MSA Aggregation for Public Health Data: Implemented a new aggregation method to map county-level syphilis diagnosis data to MSAs, enabling finer-grained analysis; existing calls left in for testing. Commit: 5a911fee2a3bfc6152d452620abae60ae5400f64 (updating to test Andrew's new aggregation method for syphilis manager). Impact and value: - Improved data granularity for public health insights, supporting regional policy decisions and reporting. - Enhanced maintainability and clarity of documentation, reducing onboarding time for new contributors and improving knowledge transfer. - Established testing scaffolding for new aggregation method, enabling safer rollout and validation in subsequent sprints. Technologies/skills demonstrated: - Data transformation planning (county-to-MSA mapping), version-controlled documentation, and commit hygiene. - Documentation best practices, code reviews for non-substantive changes, and test-oriented development. - Public health data familiarity and data quality awareness.
January 2026
3 Commits • 2 Features
Jan 1, 2026Month: 2026-01 | Repository: tfojo1/jheem_analyses | This month focused on improving documentation maintainability and enabling more granular public health data analysis. Key outcomes include a refreshed documentation structure, targeted fixes in docs, and the groundwork for MSAs-based aggregation of county-level syphilis data. What was delivered: - Documentation Structure Refresh and Update: Reorganized structure, added new files, removed outdated ones; includes placeholder commit to document non-substantive changes. Relevant commits: 176f017f2fd0b1620084f34474db8e7497a00df1 (updating documentation location) and f975374e2b28854f321ba2fb044707ae9c0250a8 (fixing error). - County-to-MSA Aggregation for Public Health Data: Implemented a new aggregation method to map county-level syphilis diagnosis data to MSAs, enabling finer-grained analysis; existing calls left in for testing. Commit: 5a911fee2a3bfc6152d452620abae60ae5400f64 (updating to test Andrew's new aggregation method for syphilis manager). Impact and value: - Improved data granularity for public health insights, supporting regional policy decisions and reporting. - Enhanced maintainability and clarity of documentation, reducing onboarding time for new contributors and improving knowledge transfer. - Established testing scaffolding for new aggregation method, enabling safer rollout and validation in subsequent sprints. Technologies/skills demonstrated: - Data transformation planning (county-to-MSA mapping), version-controlled documentation, and commit hygiene. - Documentation best practices, code reviews for non-substantive changes, and test-oriented development. - Public health data familiarity and data quality awareness.
December 2025
10 Commits • 4 Features
Dec 1, 2025December 2025 performance summary for tfojo1/jheem_analyses: Delivered targeted enhancements to data processing pipelines, improved data quality, and refreshed documentation, enabling more accurate surveillance and program evaluation. Key work includes Medicaid range/ontology alignment for 2025-2034, syphilis data quality and metadata improvements, documentation updates for SHIELD and Syphilis Manager, and Pennsylvania viral suppression processing enhancements, all aligned with CDC standards. These changes reduce misclassification in coverage loss analyses, strengthen data governance, and expand HIV surveillance capabilities, delivering measurable business value and stronger technical foundations.
10 Commits • 4 Features
Dec 1, 2025December 2025 performance summary for tfojo1/jheem_analyses: Delivered targeted enhancements to data processing pipelines, improved data quality, and refreshed documentation, enabling more accurate surveillance and program evaluation. Key work includes Medicaid range/ontology alignment for 2025-2034, syphilis data quality and metadata improvements, documentation updates for SHIELD and Syphilis Manager, and Pennsylvania viral suppression processing enhancements, all aligned with CDC standards. These changes reduce misclassification in coverage loss analyses, strengthen data governance, and expand HIV surveillance capabilities, delivering measurable business value and stronger technical foundations.
December 2025
November 2025
26 Commits • 12 Features
Nov 1, 2025Month: 2025-11. This monthly summary highlights key features delivered, major bugs fixed, and the overall impact of the work on data quality, coverage, and business value for the JHEEM analyses pipeline.
November 2025
26 Commits • 12 Features
Nov 1, 2025Month: 2025-11. This monthly summary highlights key features delivered, major bugs fixed, and the overall impact of the work on data quality, coverage, and business value for the JHEEM analyses pipeline.
October 2025
1 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10 focusing on key accomplishments, business impact, and technical achievement for the tfojo1/jheem_analyses repository. The primary delivery this month was a Medicaid HIV testing and outcome reporting enhancements via updates to the Medicaid data manager. These changes improve the processing of proportions and totals for HIV testing rates and outcomes among insured and uninsured Medicaid clients, enabling more accurate reporting, analytics, and program monitoring. The work strengthens data integrity, supports evidence-based decision-making, and lays groundwork for scalable analytics and ongoing improvements in program performance reporting.
1 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10 focusing on key accomplishments, business impact, and technical achievement for the tfojo1/jheem_analyses repository. The primary delivery this month was a Medicaid HIV testing and outcome reporting enhancements via updates to the Medicaid data manager. These changes improve the processing of proportions and totals for HIV testing rates and outcomes among insured and uninsured Medicaid clients, enabling more accurate reporting, analytics, and program monitoring. The work strengthens data integrity, supports evidence-based decision-making, and lays groundwork for scalable analytics and ongoing improvements in program performance reporting.
October 2025
June 2025
3 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for repository: tfojo1/jheem_analyses. Key features delivered include New Jersey Suppression Data Processing Enhancement, and Documentation/Metadata/Configuration Updates. The NJ suppression processing adds data handling for New Jersey suppression Local Health Department data, integrates the data into the data manager, and refines race categorization in the processing logic to improve accuracy and timeliness of surveillance outputs. Documentation updates replace an older Excel file with a newer version and update surveillance manager metadata (binary/config changes), improving governance and reproducibility.
June 2025
3 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for repository: tfojo1/jheem_analyses. Key features delivered include New Jersey Suppression Data Processing Enhancement, and Documentation/Metadata/Configuration Updates. The NJ suppression processing adds data handling for New Jersey suppression Local Health Department data, integrates the data into the data manager, and refines race categorization in the processing logic to improve accuracy and timeliness of surveillance outputs. Documentation updates replace an older Excel file with a newer version and update surveillance manager metadata (binary/config changes), improving governance and reproducibility.
May 2025
17 Commits • 3 Features
May 1, 2025May 2025 performance summary for tfojo1/jheem_analyses: Delivered end-to-end MSM Proportion Data Pipeline and Analytics, enabling processing of proportion.msm.n and aggregations to state and MSA levels; updated variance handling and MSM outcome naming to improve data quality and consistency. Completed Surveillance Manager data and metadata maintenance, including data sources registration, cache metadata refinements, and ontology-aligned data subsetting. Updated documentation and references for MSM and Surveillance Manager, including proportion.msm references and variance assets. Fixed multiple data processing and metadata issues to stabilize the data stack. Overall impact: higher reliability and scalability of MSM proportion analytics, improved data governance, and faster onboarding for new users. Technologies/skills demonstrated: data engineering, ETL pipelines, data aggregation, variance handling, ontology-aware metadata management, and documentation tooling.
17 Commits • 3 Features
May 1, 2025May 2025 performance summary for tfojo1/jheem_analyses: Delivered end-to-end MSM Proportion Data Pipeline and Analytics, enabling processing of proportion.msm.n and aggregations to state and MSA levels; updated variance handling and MSM outcome naming to improve data quality and consistency. Completed Surveillance Manager data and metadata maintenance, including data sources registration, cache metadata refinements, and ontology-aligned data subsetting. Updated documentation and references for MSM and Surveillance Manager, including proportion.msm references and variance assets. Fixed multiple data processing and metadata issues to stabilize the data stack. Overall impact: higher reliability and scalability of MSM proportion analytics, improved data governance, and faster onboarding for new users. Technologies/skills demonstrated: data engineering, ETL pipelines, data aggregation, variance handling, ontology-aware metadata management, and documentation tooling.
May 2025
April 2025
63 Commits • 23 Features
Apr 1, 20252025-04 Monthly Summary for tfojo1/jheem_analyses: Key features delivered: - State-level disease data and LHD data updates: updated state-level STI ratios; AIDS dx data for 1993-2000; Atlas Plus AIDS dx data; state deaths; LHD data; and proportion of congenital syphilis births. - Surveillance and census metadata updates: refreshed surveillance manager and census manager metadata to reflect latest data sources and structures. - Syphilis ontology and metadata updates: major updates to the syphilis data model, including ontology rename to cdc.sti.two and updated age distributions across modules. - Ryan White Web Tool Data Manager: creation of the Ryan White webtool data manager and integration with the web tool manager. - Data lifecycle improvements and documentation: removal of 2010 data to streamline analyses; removal of notes and 2020 state-level deaths; data file integration for new data files; documentation folder setup and ongoing updates. - Data source alignment and governance: standardized data source pulls to Q-drive for HIV surveillance, Ryan White Web Data Manager, Census, and Syphilis, improving reliability and reproducibility. Major bugs fixed: - General errors and aggregation improvements across modules (location errors, prenatal care aggregation, fertility rate aggregation, missing code). - Specific calculation fixes: HIV tests per population; congenital proportion; prenatal screening aggregation at the MSA level. - Data source pull issues: HIV surveillance manager, Ryan White data manager, Census manager, and Syphilis manager switched to Q-drive pulls. - Additional general error fixes across modules to stabilize pipelines and reporting. Overall impact and accomplishments: - Significantly improved data accuracy, consistency, and governance across surveillance, census, STI, and related domains. - Enhanced reporting readiness and policy support with updated data sources, ontology, and metadata alignment. - Streamlined data management workflows through new web data manager components and standardized source integrations, enabling faster, more reliable decision-making. Technologies/skills demonstrated: - Data modeling and ontology management; metadata governance; cross-module data integration; ETL-like workflows; web tool integration; documentation practices. Business value: - Enables evidence-based decision making, accurate trend analyses, and compliant data stewardship across HIV, STI, and related programs.
April 2025
63 Commits • 23 Features
Apr 1, 20252025-04 Monthly Summary for tfojo1/jheem_analyses: Key features delivered: - State-level disease data and LHD data updates: updated state-level STI ratios; AIDS dx data for 1993-2000; Atlas Plus AIDS dx data; state deaths; LHD data; and proportion of congenital syphilis births. - Surveillance and census metadata updates: refreshed surveillance manager and census manager metadata to reflect latest data sources and structures. - Syphilis ontology and metadata updates: major updates to the syphilis data model, including ontology rename to cdc.sti.two and updated age distributions across modules. - Ryan White Web Tool Data Manager: creation of the Ryan White webtool data manager and integration with the web tool manager. - Data lifecycle improvements and documentation: removal of 2010 data to streamline analyses; removal of notes and 2020 state-level deaths; data file integration for new data files; documentation folder setup and ongoing updates. - Data source alignment and governance: standardized data source pulls to Q-drive for HIV surveillance, Ryan White Web Data Manager, Census, and Syphilis, improving reliability and reproducibility. Major bugs fixed: - General errors and aggregation improvements across modules (location errors, prenatal care aggregation, fertility rate aggregation, missing code). - Specific calculation fixes: HIV tests per population; congenital proportion; prenatal screening aggregation at the MSA level. - Data source pull issues: HIV surveillance manager, Ryan White data manager, Census manager, and Syphilis manager switched to Q-drive pulls. - Additional general error fixes across modules to stabilize pipelines and reporting. Overall impact and accomplishments: - Significantly improved data accuracy, consistency, and governance across surveillance, census, STI, and related domains. - Enhanced reporting readiness and policy support with updated data sources, ontology, and metadata alignment. - Streamlined data management workflows through new web data manager components and standardized source integrations, enabling faster, more reliable decision-making. Technologies/skills demonstrated: - Data modeling and ontology management; metadata governance; cross-module data integration; ETL-like workflows; web tool integration; documentation practices. Business value: - Enables evidence-based decision making, accurate trend analyses, and compliant data stewardship across HIV, STI, and related programs.
March 2025
71 Commits • 32 Features
Mar 1, 2025March 2025 performance summary for tfojo1/jheem_analyses: Delivered a blend of data-model enhancements, pipeline expansions, and metadata governance improvements across multiple managers (Ryan White, Local Health, Syphilis Manager, Surveillance Manager) to enable deeper analytics, broader historical coverage, and more reliable data processing.
71 Commits • 32 Features
Mar 1, 2025March 2025 performance summary for tfojo1/jheem_analyses: Delivered a blend of data-model enhancements, pipeline expansions, and metadata governance improvements across multiple managers (Ryan White, Local Health, Syphilis Manager, Surveillance Manager) to enable deeper analytics, broader historical coverage, and more reliable data processing.
March 2025
February 2025
79 Commits • 34 Features
Feb 1, 2025February 2025 monthly summary for tfojo1/jheem_analyses. Focused on delivering robust data workflows, expanding data stratification and regional analytics, and strengthening data quality and governance to enable more precise public health reporting and decision-making.
February 2025
79 Commits • 34 Features
Feb 1, 2025February 2025 monthly summary for tfojo1/jheem_analyses. Focused on delivering robust data workflows, expanding data stratification and regional analytics, and strengthening data quality and governance to enable more precise public health reporting and decision-making.
January 2025
40 Commits • 10 Features
Jan 1, 2025January 2025 summary: Delivered immigration data integration across multiple health managers, enhanced metadata governance, and prepared the codebase for deployment, with a focus on data quality, archiving, and ingestion of additional report data (PDFs).
40 Commits • 10 Features
Jan 1, 2025January 2025 summary: Delivered immigration data integration across multiple health managers, enhanced metadata governance, and prepared the codebase for deployment, with a focus on data quality, archiving, and ingestion of additional report data (PDFs).
January 2025
December 2024
36 Commits • 9 Features
Dec 1, 2024December 2024 monthly summary for tfojo1/jheem_analyses: Delivered end-to-end enhancements to census and syphilis data workflows, strengthened merge capabilities, and consolidated metadata across Census, Syphilis, and Surveillance managers. Achieved safer, faster merges, improved data quality, and more complete surveillance reporting, supported by robust error handling and maintainability improvements. Key accomplishments include: Census Manager Merge Enhancements; Syphilis Manager Merge Enablement and Metadata; Surveillance Manager Metadata Updates and Merges; Data Quality and Data Integration improvements (Houston diagnosis cleanup, CDC STI data import, total level data); and finalization of the Syphilis Manager and related metadata updates. These changes reduce data inconsistencies, streamline processing, and enable more reliable business decisions and reporting.
December 2024
36 Commits • 9 Features
Dec 1, 2024December 2024 monthly summary for tfojo1/jheem_analyses: Delivered end-to-end enhancements to census and syphilis data workflows, strengthened merge capabilities, and consolidated metadata across Census, Syphilis, and Surveillance managers. Achieved safer, faster merges, improved data quality, and more complete surveillance reporting, supported by robust error handling and maintainability improvements. Key accomplishments include: Census Manager Merge Enhancements; Syphilis Manager Merge Enablement and Metadata; Surveillance Manager Metadata Updates and Merges; Data Quality and Data Integration improvements (Houston diagnosis cleanup, CDC STI data import, total level data); and finalization of the Syphilis Manager and related metadata updates. These changes reduce data inconsistencies, streamline processing, and enable more reliable business decisions and reporting.
November 2024
64 Commits • 16 Features
Nov 1, 2024In November 2024, the JHEEM analyses repository (tfojo1/jheem_analyses) delivered a focused set of features, governance improvements, and quality enhancements that directly support reliable analyses and faster value realization. The work combined ontology normalization, data-model simplifications, governance metadata updates, and repository hygiene to improve data consistency, reduce maintenance overhead, and enable scalable analytics across health datasets.
64 Commits • 16 Features
Nov 1, 2024In November 2024, the JHEEM analyses repository (tfojo1/jheem_analyses) delivered a focused set of features, governance improvements, and quality enhancements that directly support reliable analyses and faster value realization. The work combined ontology normalization, data-model simplifications, governance metadata updates, and repository hygiene to improve data consistency, reduce maintenance overhead, and enable scalable analytics across health datasets.
November 2024
October 2024
10 Commits • 2 Features
Oct 1, 2024October 2024 accomplishments for tfojo1/jheem_analyses focused on increasing data quality, governance, and pipeline reliability. Delivered race/ethnicity data standardization across sources for syphilis analytics, enhanced data processing tooling and synchronization, and fixed critical metadata/script issues to ensure accurate national population aggregation. These efforts reduce data inconsistencies, enable more trustworthy surveillance insights, and lay groundwork for scalable analytics across sources.
October 2024
10 Commits • 2 Features
Oct 1, 2024October 2024 accomplishments for tfojo1/jheem_analyses focused on increasing data quality, governance, and pipeline reliability. Delivered race/ethnicity data standardization across sources for syphilis analytics, enhanced data processing tooling and synchronization, and fixed critical metadata/script issues to ensure accurate national population aggregation. These efforts reduce data inconsistencies, enable more trustworthy surveillance insights, and lay groundwork for scalable analytics across sources.
Activity
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Quality Metrics
Correctness82.4%
Maintainability82.6%
Architecture79.0%
Performance76.6%
AI Usage20.8%
Skills & Technologies
Programming Languages
ExcelJSONMarkdownNonePowerPointRRdataSQLShellWord
Technical Skills
CachingCode CleanupCode OrganizationCode RefactoringConfiguration ManagementData AggregationData AnalysisData CleaningData EngineeringData IntegrationData ManagementData MappingData MergingData ProcessingData Standardization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline