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    <title>Joyston Fernandes — Blog</title>
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    <description>Business Analytics student working toward ML deployment — the part after the notebook, where a model gets packaged, served, monitored, and actually used. Grounded in real production data: manufacturing yield, packaging waste, and forecasting.</description>
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      <title>Beating the Naïve Forecast: What Predicting Tunnel Traffic Taught Me About Baselines</title>
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      <pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate>
      <description>Before you can claim a forecasting model is good, you have to prove it beats doing almost nothing. Here's how that played out with three years of tunnel traffic data.</description>
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      <category>forecasting</category>
      <category>time-series</category>
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      <title>The 1.9% Nobody Was Looking For: Finding Hidden Waste in a Bakery's Packaging Line</title>
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      <pubDate>Sun, 01 Feb 2026 00:00:00 GMT</pubDate>
      <description>A 2% overpacking buffer sounded fine on paper. The Excel model said otherwise — and turned into a standing KPI report for operations leadership.</description>
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      <category>process-improvement</category>
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