fpsim/fpsim
Nov 2024 – Jul 2025
6 Months active
Languages Used
CSVPythonSQLMarkdownRYAMLRSTShell
Technical Skills
Backend DevelopmentConfiguration ManagementData AnalysisData CalibrationData CleaningData Loading
emilydriano
PROFILE
Emilydriano
Emily Driano developed and maintained core data modeling and simulation infrastructure for the fpsim/fpsim repository, focusing on regional demographic calibration, data pipeline automation, and visualization enhancements. She engineered modular Python and R scripts to streamline data ingestion, processing, and validation, introducing centralized configuration and region-aware data handling to support scalable, reproducible analyses. Her work included refactoring legacy code, automating data imports, and improving plotting modules using Pandas and Matplotlib, which increased maintainability and interpretability. By implementing robust testing, documentation, and release management practices, Emily ensured higher data integrity, more reliable forecasts, and smoother onboarding for both internal and external users.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
74Total
Bugs
7
Commits
74
Features
21
Lines of code
59,229
Activity Months6
Your Network
12 peopleSame Organization
@gatesfoundation.org4
Work History
July 2025
13 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for fpsim/fpsim focused on scaling regional data handling and enhancing visualization robustness, while maintaining release discipline. Key outcomes include: (1) delivered Regional Modeling Infrastructure and Unified Data Handling, centralizing regional data loading, path resolution, and region-aware modeling; added a data_dir helper to determine data paths and region status; standardized region handling across models. (2) completed Education and CPR-by-age Visualization Enhancements, improving plotting attribute access, robustness of birth-spacing visuals, and strengthening docs/assertions for video/education plots; plotting fixes include using ppl.[attribute].values and updating sigmoid handling to expit. (3) strengthened Release Management and Versioning Updates, aligning changelog, version files, and documentation with the new release. (4) code and data utilities refinements, tidying read_data, tests/examples, and updating regional data naming and validation across Ethiopia regions. (5) overall impact: reduced data path ambiguity, more interpretable regional models, better UX for visualizations, and smoother deployment via consistent release artifacts.
13 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for fpsim/fpsim focused on scaling regional data handling and enhancing visualization robustness, while maintaining release discipline. Key outcomes include: (1) delivered Regional Modeling Infrastructure and Unified Data Handling, centralizing regional data loading, path resolution, and region-aware modeling; added a data_dir helper to determine data paths and region status; standardized region handling across models. (2) completed Education and CPR-by-age Visualization Enhancements, improving plotting attribute access, robustness of birth-spacing visuals, and strengthening docs/assertions for video/education plots; plotting fixes include using ppl.[attribute].values and updating sigmoid handling to expit. (3) strengthened Release Management and Versioning Updates, aligning changelog, version files, and documentation with the new release. (4) code and data utilities refinements, tidying read_data, tests/examples, and updating regional data naming and validation across Ethiopia regions. (5) overall impact: reduced data path ambiguity, more interpretable regional models, better UX for visualizations, and smoother deployment via consistent release artifacts.
July 2025
June 2025
11 Commits • 1 Features
Jun 1, 2025June 2025 fpsim/fpsim monthly update highlighting key feature deliveries, stability fixes, and maintainability improvements with business value and technical impact. Key achievements: - Calibration Tutorials and Plotting Enhancements delivered (new calibration tutorial, updated plotting class, RMSE display option, plotting refactor for AFB and birth spacing, notebook cleanups, and doc updates to improve portability and maintainability). - Testing Framework Stability Fixes implemented (pytest version pinned to resolve intermittent 'not none' errors; stabilized test environment). - Documentation and Maintainability improvements (tutorial cleanups, relative-path handling, changelog/version updates; improved portability of docs and onboarding). Overall impact: - Accelerated calibration workflows with more transparent performance metrics (RMSE) and clearer visualization paths. - Increased test reliability and faster feedback cycles due to pinned dependencies. - Enhanced documentation and portability reducing onboarding time and maintenance burden. Technologies/skills demonstrated: - Python plotting class design and plotting refactor - Jupyter Notebooks and tutorial/documentation craftsmanship - Test infrastructure stabilization (pytest version management) - Documentation, versioning, and portable-path strategies
June 2025
11 Commits • 1 Features
Jun 1, 2025June 2025 fpsim/fpsim monthly update highlighting key feature deliveries, stability fixes, and maintainability improvements with business value and technical impact. Key achievements: - Calibration Tutorials and Plotting Enhancements delivered (new calibration tutorial, updated plotting class, RMSE display option, plotting refactor for AFB and birth spacing, notebook cleanups, and doc updates to improve portability and maintainability). - Testing Framework Stability Fixes implemented (pytest version pinned to resolve intermittent 'not none' errors; stabilized test environment). - Documentation and Maintainability improvements (tutorial cleanups, relative-path handling, changelog/version updates; improved portability of docs and onboarding). Overall impact: - Accelerated calibration workflows with more transparent performance metrics (RMSE) and clearer visualization paths. - Increased test reliability and faster feedback cycles due to pinned dependencies. - Enhanced documentation and portability reducing onboarding time and maintenance burden. Technologies/skills demonstrated: - Python plotting class design and plotting refactor - Jupyter Notebooks and tutorial/documentation craftsmanship - Test infrastructure stabilization (pytest version management) - Documentation, versioning, and portable-path strategies
May 2025
17 Commits • 3 Features
May 1, 2025May 2025 fpsim/fpsim monthly summary: delivered key features to enhance configurability and external data integration, improved data processing infrastructure for maintainability and reproducibility, and made targeted data integrity fixes. The work reduces operational risk, accelerates scenario testing, and sets a cleaner foundation for future growth. Notable outcomes include an external location registry, centralized config for data pipelines, and meaningful codebase simplifications, with accompanying tests and documentation.
17 Commits • 3 Features
May 1, 2025May 2025 fpsim/fpsim monthly summary: delivered key features to enhance configurability and external data integration, improved data processing infrastructure for maintainability and reproducibility, and made targeted data integrity fixes. The work reduces operational risk, accelerates scenario testing, and sets a cleaner foundation for future growth. Notable outcomes include an external location registry, centralized config for data pipelines, and meaningful codebase simplifications, with accompanying tests and documentation.
May 2025
April 2025
25 Commits • 13 Features
Apr 1, 2025April 2025 FPSIM monthly summary (fpsim/fpsim). Key features delivered: - Codebase cleanup and legacy file removal to reduce technical debt and accelerate ongoing development (removal of legacy/exploratory files and world bank script cleanup). - Local environment testing scaffolding and established git push workflow from the development environment, enabling faster local validation and CI readiness. - Reinstated and integrated webscraping scripts and subnational data ingestion; adjusted barriers workflow to support testing and baseline stability. - Context-wide bf_stats integration across all contexts, removal of unused education.csv, spline removal, and automated importing of bf_stats to standardize analytics pipelines. - Data provisioning and automation: added scalar_probs for abortion and twins; automated importing for age_fecundity, fecundity ratio nullip, and miscarriage data; consolidated data scripts and reorganized processing flow. - Data model and processing refactor: separated age_adjustments from data_utils and reorganized shared_data and data_processing modules for maintainability. - Baseline enhancements and feature additions for Ethiopia & Senegal (age_partnership and wealth_quintile) with baseline updates; model file cleanup to improve consistency. - Documentation improvements: updated locations README and added a template model file, improving onboarding and maintainability. Major bugs fixed: - Reverted unintended test change to restore expected behavior. - Cleanup: removed deprecated matrices files; fixed calibration path removal issues. - Model file cleanup to ensure consistency across the model suite. Overall impact and accomplishments: - Significantly reduced technical debt while stabilizing and accelerating data pipelines and analytics capabilities. - Enhanced data quality, reproducibility, and onboarding through automated data imports, standardized bf_stats, and consolidated data scripts. - Improved baseline modeling and regional coverage (Ethiopia & Senegal) with clearer data models and processing flows, supporting more accurate and scalable insights for stakeholders. Technologies/skills demonstrated: - Python scripting, data engineering, and automation of data imports. - Data modeling, pipeline refactoring, and modularization of shared components. - Web scraping integration, subnational data handling, and barrier workflow adjustments. - Version control practices, local development workflows, and documentation updates for maintainability.
April 2025
25 Commits • 13 Features
Apr 1, 2025April 2025 FPSIM monthly summary (fpsim/fpsim). Key features delivered: - Codebase cleanup and legacy file removal to reduce technical debt and accelerate ongoing development (removal of legacy/exploratory files and world bank script cleanup). - Local environment testing scaffolding and established git push workflow from the development environment, enabling faster local validation and CI readiness. - Reinstated and integrated webscraping scripts and subnational data ingestion; adjusted barriers workflow to support testing and baseline stability. - Context-wide bf_stats integration across all contexts, removal of unused education.csv, spline removal, and automated importing of bf_stats to standardize analytics pipelines. - Data provisioning and automation: added scalar_probs for abortion and twins; automated importing for age_fecundity, fecundity ratio nullip, and miscarriage data; consolidated data scripts and reorganized processing flow. - Data model and processing refactor: separated age_adjustments from data_utils and reorganized shared_data and data_processing modules for maintainability. - Baseline enhancements and feature additions for Ethiopia & Senegal (age_partnership and wealth_quintile) with baseline updates; model file cleanup to improve consistency. - Documentation improvements: updated locations README and added a template model file, improving onboarding and maintainability. Major bugs fixed: - Reverted unintended test change to restore expected behavior. - Cleanup: removed deprecated matrices files; fixed calibration path removal issues. - Model file cleanup to ensure consistency across the model suite. Overall impact and accomplishments: - Significantly reduced technical debt while stabilizing and accelerating data pipelines and analytics capabilities. - Enhanced data quality, reproducibility, and onboarding through automated data imports, standardized bf_stats, and consolidated data scripts. - Improved baseline modeling and regional coverage (Ethiopia & Senegal) with clearer data models and processing flows, supporting more accurate and scalable insights for stakeholders. Technologies/skills demonstrated: - Python scripting, data engineering, and automation of data imports. - Data modeling, pipeline refactoring, and modularization of shared components. - Web scraping integration, subnational data handling, and barrier workflow adjustments. - Version control practices, local development workflows, and documentation updates for maintainability.
January 2025
3 Commits • 1 Features
Jan 1, 2025Performance summary for 2025-01 for fpsim/fpsim: focused on calibration, plotting enhancements, and historical data integrity. Key outcomes include refined Kenya demographic calibration and a new plotting module to visualize demographic indicators, plus a fix to the year-ago index in the People class to improve historical data retrieval. Result: higher simulation accuracy, more trustworthy forecasts, and clearer data visualizations; demonstrated skills in calibration tuning, plotting tooling, and robust data handling.
3 Commits • 1 Features
Jan 1, 2025Performance summary for 2025-01 for fpsim/fpsim: focused on calibration, plotting enhancements, and historical data integrity. Key outcomes include refined Kenya demographic calibration and a new plotting module to visualize demographic indicators, plus a fix to the year-ago index in the People class to improve historical data retrieval. Result: higher simulation accuracy, more trustworthy forecasts, and clearer data visualizations; demonstrated skills in calibration tuning, plotting tooling, and robust data handling.
January 2025
November 2024
5 Commits • 1 Features
Nov 1, 2024Month 2024-11 performance summary for fpsim/fpsim focused on delivering a data-driven empowerment model with dynamic coefficients, age spline factors, and Kenya-specific calibration. The work emphasizes business value through improved predictive accuracy, adaptability, and maintainability of empowerment calculations, enabling faster iteration and more targeted interventions.
November 2024
5 Commits • 1 Features
Nov 1, 2024Month 2024-11 performance summary for fpsim/fpsim focused on delivering a data-driven empowerment model with dynamic coefficients, age spline factors, and Kenya-specific calibration. The work emphasizes business value through improved predictive accuracy, adaptability, and maintainability of empowerment calculations, enabling faster iteration and more targeted interventions.
Activity
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Quality Metrics
Correctness87.8%
Maintainability90.0%
Architecture86.4%
Performance82.6%
AI Usage21.4%
Skills & Technologies
Programming Languages
CSVJupyter NotebookMarkdownPythonRRSTSQLShellTextYAML
Technical Skills
API DesignAPI IntegrationBackend DevelopmentBug FixingCSV ManipulationCode ModularityCode OrganizationCode RefactoringCode StandardizationConfiguration ManagementData AnalysisData ArchivingData CalibrationData CleaningData Engineering
Repositories Contributed To
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