

<feed xmlns="http://www.w3.org/2005/Atom">
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  <title>Will Schneider</title>
  <subtitle>Portfolio site for Will Schneider featuring data science, analytics, and machine learning projects and writing.</subtitle>
  <updated>2026-05-05T19:15:59+00:00</updated>
  <author>
    <name>Will Schneider</name>
    <uri>https://schwill2018.github.io/</uri>
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  <rights> © 2026 Will Schneider </rights>
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  <entry>
    <title>Nhl Predictions Update</title>
    <link href="https://schwill2018.github.io/posts/nhl-predictions-update/" rel="alternate" type="text/html" title="Nhl Predictions Update" />
    <published>2025-12-08T00:00:00+00:00</published>
  
    <updated>2025-12-08T00:00:00+00:00</updated>
  
    <id>https://schwill2018.github.io/posts/nhl-predictions-update/</id>
    <content type="text/html" src="https://schwill2018.github.io/posts/nhl-predictions-update/" />
    <author>
      <name>Will Schneider</name>
    </author>

  
    
  

  <summary>NHL Predictions are now LIVE!! Check out the dashboard</summary>

  </entry>

  
  <entry>
    <title>Forecasting Fleet Utilization &amp; Maintenance: A DS View (Redacted)</title>
    <link href="https://schwill2018.github.io/posts/aircraft-ts-report/" rel="alternate" type="text/html" title="Forecasting Fleet Utilization &amp;amp; Maintenance: A DS View (Redacted)" />
    <published>2025-09-16T17:00:00+00:00</published>
  
    <updated>2025-09-16T17:00:00+00:00</updated>
  
    <id>https://schwill2018.github.io/posts/aircraft-ts-report/</id>
    <content type="text/html" src="https://schwill2018.github.io/posts/aircraft-ts-report/" />
    <author>
      <name>Will Schneider</name>
    </author>

  
    
    <category term="Time Series" />
    
    <category term="Operations" />
    
  

  <summary>How flight hours drive maintenance planning, written for data folks with an operations heartbeat.</summary>

  </entry>

  
  <entry>
    <title>Using Data Science to Predict NHL Outcomes</title>
    <link href="https://schwill2018.github.io/posts/nhl-predictions/" rel="alternate" type="text/html" title="Using Data Science to Predict NHL Outcomes" />
    <published>2025-08-03T05:00:00+00:00</published>
  
    <updated>2025-08-03T05:00:00+00:00</updated>
  
    <id>https://schwill2018.github.io/posts/nhl-predictions/</id>
    <content type="text/html" src="https://schwill2018.github.io/posts/nhl-predictions/" />
    <author>
      <name>Will Schneider</name>
    </author>

  
    
    <category term="sports" />
    
    <category term="analytics" />
    
  

  <summary>Summary page for an NHL forecasting and betting model built with bookmaker and game-level features.</summary>

  </entry>

  
  <entry>
    <title>Exploring the Relationship Between Hip Hypermobility and Psychosocial Outcomes</title>
    <link href="https://schwill2018.github.io/posts/hip-hypermobility-analysis/" rel="alternate" type="text/html" title="Exploring the Relationship Between Hip Hypermobility and Psychosocial Outcomes" />
    <published>2024-12-18T06:00:00+00:00</published>
  
    <updated>2024-12-18T06:00:00+00:00</updated>
  
    <id>https://schwill2018.github.io/posts/hip-hypermobility-analysis/</id>
    <content type="text/html" src="https://schwill2018.github.io/posts/hip-hypermobility-analysis/" />
    <author>
      <name>Will Schneider</name>
    </author>

  
    
    <category term="research" />
    
    <category term="statistical-analysis" />
    
  

  <summary>Summary page for a clinical modeling study of hip hypermobility and psychosocial outcomes.</summary>

  </entry>

  
  <entry>
    <title>Dual Supervision: Smarter Recommendations for Living Spaces</title>
    <link href="https://schwill2018.github.io/posts/dual-supervision/" rel="alternate" type="text/html" title="Dual Supervision: Smarter Recommendations for Living Spaces" />
    <published>2020-09-18T00:00:00+00:00</published>
  
    <updated>2020-09-18T00:00:00+00:00</updated>
  
    <id>https://schwill2018.github.io/posts/dual-supervision/</id>
    <content type="text/html" src="https://schwill2018.github.io/posts/dual-supervision/" />
    <author>
      <name>Will Schneider</name>
    </author>

  
    
    <category term="Machine Learning" />
    
  

  <summary>Choosing a place to live isn’t just a transaction — it’s one of the most important decisions people make, and the process is rarely straightforward. Price and square footage matter, but so do lifestyle, convenience, and the little details that make a space feel right. Traditional recommendation systems often miss this complexity because they lean too heavily on one type of signal.  That’s the g...</summary>

  </entry>

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