June 2021 - Dec 2023
Classroom Early Warning System
Builder & Founder
Built, deployed, and updated an XGBoost model with predictive power over student classroom outcomes.
Built a recommendation engine that communicated ML generated behavioral insights and suggested interventions to teachers and students. Presenting these in an actionable and friendly way was a challenge, but I was able to put together a UX that led to a 14% increase in student teacher trust and a 24% increase in student emotional self-awareness in classrooms that used the platform.
Built an ed-tech platform that used a spaced repetition algorithm to generate state standard aligned in-class assignments and homework. This spaced repetition algorithm was designed to resurface topics at the moment students were most likely to forget them, and led to an 18% increase in state standardized test scores vs control classrooms. This was the product incentive to get classrooms to adopt the core ML product.
Launched into 10 districts, Raised institutional Capital from Camelbak Ventures, exited via horizontal integration with Abloom education.