video1.0<iframe src="https://www.loom.com/embed/2b04bcdc7e954f4e830f4fa520db6697" frameborder="0" width="1440" height="1080" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10801440Loomhttps://www.loom.com10801440https://cdn.loom.com/sessions/thumbnails/2b04bcdc7e954f4e830f4fa520db6697-347d4018fc29cda9.gif248.214Hi, I am Amitesh. In this Loom, I built a machine learning based lead scoring and action system for a SaaS funnel, where leads vary in intent and quality. I extract simple interpretable features like message length, presence of keywords like price, buy or demo, urgency indicators, and spam indicators like click, then feed them into a lightweight logistic regression model. The script reads a CSV from website form inputs and classifies leads in about 2 to 5 seconds, triggering actions based on the prediction. There is no specific action requested from viewers.