<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Forecasting on Jeremy Meng</title><link>https://jeremyxtmeng.github.io/tags/forecasting/</link><description>Recent content in Forecasting on Jeremy Meng</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 10 Dec 2025 21:49:20 +0000</lastBuildDate><atom:link href="https://jeremyxtmeng.github.io/tags/forecasting/index.xml" rel="self" type="application/rss+xml"/><item><title>De Minimis Import Intelligence and Prediction</title><link>https://jeremyxtmeng.github.io/portfolio/deminimishelper/</link><pubDate>Wed, 10 Dec 2025 21:49:20 +0000</pubDate><guid>https://jeremyxtmeng.github.io/portfolio/deminimishelper/</guid><description>&lt;p&gt;Uncertainty hurts!&lt;/p&gt;
&lt;p&gt;This project develops a platform to monitor trade policy, exploiting my domain expertise, by providing updates and predictions. I estimated tree-based ML models and standard univariate models for over 10,000 internationally traded products.&lt;/p&gt;
&lt;p&gt;Built on the GCP platform for storing model artifacts and underlying data; an LLM-powered RAG makes querying and understanding model results as simple as asking for the trade intelligence of product X, of your choice.&lt;/p&gt;</description></item></channel></rss>