<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/60e9cc78768c42a292a4084f48701bc2&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/60e9cc78768c42a292a4084f48701bc2-1706117331350.gif</thumbnail_url><duration>363.264</duration><title>EnergyInsights_app_introduction</title><description>An R Shiny app built using skills in simulating data, building modern interactive data dashboards, and deploying rigorous time-series forecasting and scenario planning tools that integrate user inputs for dynamic “what-if” scenario forecasts.

You can find the app itself here: https://natebender.shinyapps.io/building_energy_use/</description></oembed>