<?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/92ffc9ef4d8744e1a315209b445425a2&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/92ffc9ef4d8744e1a315209b445425a2-946a3d2f5834545f.gif</thumbnail_url><duration>224.91</duration><title>Customer Success Dashboard Built With Streamlit</title><description>Hi team, I built a Customer Success control center in Python and Streamlit to eliminate the need for CSMS to work through spreadsheets. In the app, I split core workflows into four tabs, including an overview with total MRR, customer count, and geographic distribution. Next is a usage matrix for blind sync prep, with dropdown filters that dynamically update trends like API drops or issues. Then I added a support and comms triage view with ticket status and priorities to ensure critical escalations do not fall through the cracks, plus a field distribution tab for hardware breakdown across telematics, periods, and FMS. Thanks for your time, and I am looking forward to discussing it.</description></oembed>