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jmp-statistical-software

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This project analyzes weekly U.S. Total Petroleum Products Supplied data from the Energy Information Administration (EIA), spanning November 1990 through October 2025. The objective is to identify long term trends, seasonal patterns, and generate short term demand forecasts using time series modeling in JMP and SAS.

  • Updated Jun 2, 2026
  • Python

End-to-end analytics and decision-support engines across the global value chain. Bridging FinTech risk modeling, supply chain logistics, industrial process control (moisture optimization), and biological R&D to drive measurable business ROI.

  • Updated Jun 10, 2026
  • Python

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