{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/8f48ec618e6948bba0104f056e35a7cd\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/8f48ec618e6948bba0104f056e35a7cd-fd46dedb2e2d5a3c.gif","duration":170.142,"title":"Lead Scoring Tool for Enhanced Marketing Efficiency 🚀","description":"In this video, I present my lead scoring tool developed for the Capre Capital AI readiness challenge, aimed at helping marketing teams predict lead conversions and optimize resource allocation. I built a machine learning model using real-world data, comparing multiple models, and found that XGBBoost achieved over 90% accuracy. I demonstrate how to use the app deployed on the Streamlit platform, where users can upload a CSV file to get predictions on lead conversions. I encourage you to check out the GitHub repository for all the necessary files related to this project. If you have any questions, feel free to reach out!"}