{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1cd3f82eec184119a0ea46b42206e243\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/1cd3f82eec184119a0ea46b42206e243-2414bd68ca745c80.gif","duration":128.661,"title":"Assessing Cyber Risk for Small and Medium-Sized Businesses: A Data Analytics Approach","description":"Hello, I'm Inansavak, and in my final project for the data analytics bootcamp, I focused on assessing cyber risk for small and medium-sized businesses. Many companies are unaware of their vulnerabilities, and insurance brokers need efficient tools to evaluate these risks. I developed a four-pipeline system to score cyber risk levels, simulate insurance pricing, and visualize the data in an interactive dashboard using Python, Google Collab, and Tableau. This project combines technical skills with business insights, and I invite you to explore the full project on my GitHub and Tableau dashboard. Thank you for watching!"}