econ-ark/HARK
Nov 2024 – Jul 2025
4 Months active
Languages Used
PythonJSONJupyter NotebookMarkdownRSTrst
Technical Skills
Agent-Based ModelingComputational EconomicsJupyter NotebooksMacroeconomicsNumerical MethodsPython
akshay_shanker
PROFILE
Akshay_shanker
Andy Mathur enhanced the econ-ark/HARK repository by developing and refining Jupyter notebooks for macroeconomic policy analysis, focusing on HANK, RANK, and TANK models. He integrated the HARK and SSJ toolkits to enable calibrated steady-state computations, equilibrium discount factor analysis, and impulse-response plotting across fiscal policy scenarios. Andy improved documentation using Markdown and Python, reorganizing content for clarity and onboarding efficiency, and introduced new example notebooks to streamline user adoption. His work emphasized reproducibility, maintainability, and discoverability, addressing documentation drift and workflow ambiguity. The depth of his contributions strengthened both the technical foundation and user experience of the HARK ecosystem.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
5
Lines of code
4,253
Activity Months4
Your Network
13 people
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for econ-ark/HARK: Documentation enhancements focused on user onboarding and discoverability; added two example notebooks and updated docs navigation. No major bugs fixed this month. Result: reduced time to first meaningful use and improved surface area for tutorials; supports user adoption and engagement.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for econ-ark/HARK: Documentation enhancements focused on user onboarding and discoverability; added two example notebooks and updated docs navigation. No major bugs fixed this month. Result: reduced time to first meaningful use and improved surface area for tutorials; supports user adoption and engagement.
July 2025
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 monthly summary for econ-ark/HARK: Focused on strengthening user-facing documentation to improve onboarding and research productivity for HANK models. Delivered targeted notebook documentation improvements and integrated latest SSJ edits to ensure clarity and consistency across notebooks, enabling faster experimentation and reduced support queries.
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 monthly summary for econ-ark/HARK: Focused on strengthening user-facing documentation to improve onboarding and research productivity for HANK models. Delivered targeted notebook documentation improvements and integrated latest SSJ edits to ensure clarity and consistency across notebooks, enabling faster experimentation and reduced support queries.
January 2025
10 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for econ-ark/HARK: - Focused on delivering core demonstrations and improving documentation quality to enhance user onboarding and reproducibility. Two major features were delivered, accompanied by targeted documentation and housekeeping work to remove ambiguity and align naming conventions across notebooks. Key achievements: - HANK Fiscal Policy Demo Notebook and Documentation: Added a new HANK fiscal policy demonstration notebook, restored the previously deleted demo, and updated the Table of Contents and changelog to reflect the new naming and availability. This improves reproducibility of the HANK example andAccelerates user adoption by aligning docs with the demo. - SSJ Explanatory Notebook Naming and Documentation Cleanup: Renamed and reorganized the SSJ explanatory notebook, updated include lists, and improved formatting for clearer documentation. This reduces onboarding time and minimizes confusion for users exploring SSJ materials. - Documentation hygiene and alignment: Updated Include_list.txt, cleaned up titles, removed trailing spaces, and synchronized changelog with feature highlights to ensure docs and code stay in sync. Major bugs fixed (or issues resolved): - Restored accidentally deleted HANKFiscal notebook and ensured stable availability, addressing a regression risk in demo accessibility. - Corrected notebook naming inconsistencies and formatting issues that could lead to confusion or failed imports in user workflows. - Cleaned up formatting and include-list inconsistencies to prevent documentation drift. Overall impact and accomplishments: - Improved reproducibility and reliability of demonstrations, enabling faster onboarding and reduced support overhead. - Clearer communication of features and availability through consistent naming, improved TOC structure, and accurate changelog entries. - Strengthened code-doc coherence, contributing to long-term maintainability of the HARK notebook ecosystem. Technologies/skills demonstrated: - Jupyter/Python notebook development and demonstration scripting. - Documentation best practices, including TOC, changelog, and include-list management. - Git version control for feature delivery, bug fixes, and documentation hygiene. - Notebook naming conventions, formatting, and content organization for better UX.
10 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for econ-ark/HARK: - Focused on delivering core demonstrations and improving documentation quality to enhance user onboarding and reproducibility. Two major features were delivered, accompanied by targeted documentation and housekeeping work to remove ambiguity and align naming conventions across notebooks. Key achievements: - HANK Fiscal Policy Demo Notebook and Documentation: Added a new HANK fiscal policy demonstration notebook, restored the previously deleted demo, and updated the Table of Contents and changelog to reflect the new naming and availability. This improves reproducibility of the HANK example andAccelerates user adoption by aligning docs with the demo. - SSJ Explanatory Notebook Naming and Documentation Cleanup: Renamed and reorganized the SSJ explanatory notebook, updated include lists, and improved formatting for clearer documentation. This reduces onboarding time and minimizes confusion for users exploring SSJ materials. - Documentation hygiene and alignment: Updated Include_list.txt, cleaned up titles, removed trailing spaces, and synchronized changelog with feature highlights to ensure docs and code stay in sync. Major bugs fixed (or issues resolved): - Restored accidentally deleted HANKFiscal notebook and ensured stable availability, addressing a regression risk in demo accessibility. - Corrected notebook naming inconsistencies and formatting issues that could lead to confusion or failed imports in user workflows. - Cleaned up formatting and include-list inconsistencies to prevent documentation drift. Overall impact and accomplishments: - Improved reproducibility and reliability of demonstrations, enabling faster onboarding and reduced support overhead. - Clearer communication of features and availability through consistent naming, improved TOC structure, and accurate changelog entries. - Strengthened code-doc coherence, contributing to long-term maintainability of the HARK notebook ecosystem. Technologies/skills demonstrated: - Jupyter/Python notebook development and demonstration scripting. - Documentation best practices, including TOC, changelog, and include-list management. - Git version control for feature delivery, bug fixes, and documentation hygiene. - Notebook naming conventions, formatting, and content organization for better UX.
January 2025
November 2024
1 Commits • 1 Features
Nov 1, 2024Delivered HARK-SSJ Notebook Enhancements for HANK Policy Analysis: integrated HARK and SSJ for fiscal policy experiments, enhanced calibration of steady-state values, computation of equilibrium discount factors, Jacobian matrices, and impulse-response plotting across multiple policy scenarios; introduced representative-agent (RANK) and two-agent (TANK) models for comparative analysis; updated notebook guidance and workflow for faster, end-to-end policy analysis.
November 2024
1 Commits • 1 Features
Nov 1, 2024Delivered HARK-SSJ Notebook Enhancements for HANK Policy Analysis: integrated HARK and SSJ for fiscal policy experiments, enhanced calibration of steady-state values, computation of equilibrium discount factors, Jacobian matrices, and impulse-response plotting across multiple policy scenarios; introduced representative-agent (RANK) and two-agent (TANK) models for comparative analysis; updated notebook guidance and workflow for faster, end-to-end policy analysis.
Activity
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Quality Metrics
Correctness98.6%
Maintainability98.6%
Architecture98.6%
Performance94.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPythonRSTrst
Technical Skills
Agent-Based ModelingCode FormattingComputational EconomicsData ScienceDocumentationEconometricsEconomic ModelingEconomics ModelingHARKJupyter NotebooksMacroeconomicsMarkdownNumerical MethodsPythonPython Programming
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