{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b1dcd745b7a44f949e95dcd876318518\" frameborder=\"0\" width=\"1272\" height=\"954\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":954,"width":1272,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":954,"thumbnail_width":1272,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b1dcd745b7a44f949e95dcd876318518-3b271ab3a35ea209.gif","duration":504.832,"title":"Insights from the TTCC Incident Classification Project 📊","description":"In this video, I share my experience as the evaluation and reporting lead for our TTCC incident classification project, where we analyzed 93,000 incidents from 2014 to 2020 to identify patterns in streetcar delay severity. I focused on bridging technical work with business value, designing an evaluation framework, building project infrastructure, and coordinating team efforts. I learned that coordination is essential for project success and that upfront documentation saves time. I also addressed a last-minute challenge regarding discrepancies in our data, which reinforced the importance of clear communication and verifiable steps. I encourage you to consider how we can strengthen our capacity to lead through ambiguity and maintain data integrity in future projects."}