<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Anomaly Detection |</title><link>https://porushy.github.io/tags/anomaly-detection/</link><atom:link href="https://porushy.github.io/tags/anomaly-detection/index.xml" rel="self" type="application/rss+xml"/><description>Anomaly Detection</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 20 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://porushy.github.io/media/icon_hu_6a46348f2384c7d5.png</url><title>Anomaly Detection</title><link>https://porushy.github.io/tags/anomaly-detection/</link></image><item><title>Financial Market Surveillance</title><link>https://porushy.github.io/projects/financial-market-surveillance/</link><pubDate>Mon, 20 Jul 2026 00:00:00 +0000</pubDate><guid>https://porushy.github.io/projects/financial-market-surveillance/</guid><description>&lt;p&gt;Jul 2026&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Built an anomaly-detection model based on an unsupervised learning algorithm called Isolation Forest.&lt;/li&gt;
&lt;li&gt;Detected anomalies in USD-INR exchange-rate data using rolling-volatility features.&lt;/li&gt;
&lt;li&gt;Detected stress episodes matching real crisis periods (2008 GFC, 2013 taper tantrum, 2020 COVID), along with the recent 2026 rupee depreciation.&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>