{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/4b01fe3198a047c58341e1622e693155\" 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/4b01fe3198a047c58341e1622e693155-4fb5ca77acd6e34e.gif","duration":58.667,"title":"English Skills, Flexibility, and ML Frameworks","description":"This Loom explains why the speaker believes they are a strong fit for a position. They emphasize fluent English to avoid communication issues and a flexible schedule because they are a student rather than working a 9 to 5. They also mention introducing machine learning frameworks the team may not know, including deep learning and random forests for use in anomaly analysis and CFOs. Finally, they reference familiarity with tools like Claude, Make.com, Zapier, and n8n, and ask to be considered."}