📦 Product & Platform Development

• AI-Accelerated Workflows
  Developed and applied AI-assisted workflows to streamline documentation, content creation, and code generation across multiple projects, improving efficiency and consistency.

• GAUSS tspdlib Library
  Led the development and public release of an open-source GAUSS library, coordinating client collaboration, external contributions, and targeted promotion to support broader adoption and reuse.

• Time Series Modeling Tools in GAUSS
  Led the development and refinement of GAUSS’s time series modeling suite, with an emphasis on statistical correctness, extensibility, and user trust. This work spanned core model implementation, API design, validation, and supporting documentation and tutorials.

• Estimation & Data Tools in GAUSS
  Contributed core estimation and data-handling functionality to the GAUSS platform, focusing on extensibility, consistency, and integration with documentation and user-facing tutorials.

• GAUSS GitHub Collaboration Hub
  Led the transition to a GitHub-based collaboration model to support open-source libraries, documentation, and private client work, enabling modern development workflows and broader access to GAUSS resources.

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🎓 Technical Learning & Instructional Design

• Translating Economic Impact Analysis into Decision-Ready Insight
  Led the development of education, guidance, and interpretive materials to help users apply and communicate economic impact analysis responsibly. This work focuses on clarifying model assumptions, appropriate use cases, and limitations so results can inform policy, business, and community decisions with confidence.

• Designing Applied Economics Training for IMPLAN Users
  Led the design and delivery of applied economics training for IMPLAN users, focusing on building intuition around input–output modeling, appropriate use cases, and result interpretation. This work emphasized helping analysts and decision-makers develop confidence in both the mechanics and limitations of economic impact analysis through structured, example-driven learning.

• Guidance on Appropriate Use of Economic Impact Models
  Developed guidance and best practices around the responsible application of economic impact models, addressing common sources of misuse, assumption sensitivity, and communication risks. This work supports clearer interpretation and more defensible use of modeling results in policy, business, and community decision-making contexts.

• GAUSS Video Onboarding Series
  Contributed to the end-to-end development of instructional video content, including curriculum design, scripting, editing, and coordination across contributors.

• Online Documentation Hub
  Designed and managed a searchable, example-driven documentation platform that improved user experience and reduced support burden.

• GAUSS Data Analytics Blog
  Authored educational content and tutorials that support user learning while introducing and contextualizing new analytical capabilities.

• Live Office Hours & Technical Support
  Led live sessions providing walkthroughs, troubleshooting, and applied guidance for researchers and analysts working with complex models.

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📈 Applied Quantitative Analysis Projects

Real-world applications of econometric modeling and data analysis, including forecasting, index construction, and methodology evaluation for researchers and private clients.

• Trilemma Index Computation
  Supported academic research by cleaning and integrating international macroeconomic and financial datasets and computing multiple dimensions of the trilemma index using consistent time-series techniques.

• Inflation Forecasting with Commodity Price Aggregates
  Contributed data processing, cointegration testing, and VAR/VECM estimation to a cross-country inflation forecasting study evaluating the predictive value of global commodity price aggregates.

• Price Discovery Code Consultant
  Contracted to extend and adapt an existing estimation codebase, delivering enhanced coefficient estimates, bootstrapped inference, and publication-ready outputs aligned with current academic standards.

• Time Series Forecasting for Private Client
  Conducted end-to-end time-series analysis, including data preparation, diagnostics, model estimation, and forecast evaluation, delivering both code and interpretive guidance.

• Review of Inflation Forecasting Methodology
  Evaluated an existing ARIMA-based forecasting process and developed a modular, automated evaluation pipeline to improve transparency, reproducibility, and interpretability.