A comprehensive portfolio of quantitative modeling tasks ranging from commodity pricing mechanisms to credit risk assessment and algorithmic quantization.
-
Updated
Dec 4, 2025 - Jupyter Notebook
A comprehensive portfolio of quantitative modeling tasks ranging from commodity pricing mechanisms to credit risk assessment and algorithmic quantization.
Publication-aware time-series frequency expansion for Python
Quantitative analytic toolkit covering natural gas pricing, storage valuation, loan default risk modeling, and credit rating bucketization, with reusable helpers & visual workflows for pricing and risk teams exploring energy and consumer credit data.
Add a description, image, and links to the commodity-pricing topic page so that developers can more easily learn about it.
To associate your repository with the commodity-pricing topic, visit your repo's landing page and select "manage topics."