Implemented a modeling tool for our flagship partner to generate financial predictions for their contracted healthcare providers, enabling them to convert $50M and 500K+ lives to value-based care programs.

Built a new quality module to track clinical and hospital performance for the end-of-year financial reconciliation as part of onboarding the partner to use the Nuna platform as the source-of-truth.

Generated reliable synthetic data for client demo environments, then developed a proposal to automate demo data generation by de-identifying PHI while maintaining HIPAA-compliance.

Instituted new in-app user roles via the Auth0 authentication framework, improving the current role-based access control and increasing data access restrictions for selected users.

Course Title: Principles and Techniques of Data Science

Led weekly discussions teaching students how to use data modelling techniques such as regression, gradient descent, random forests, as well as the underlying math and intuition.

Taught students to use tools such as Pandas, sklearn, and Seaborn to analyze data and build ML models and visualizations.

Created and updated course content including homeworks, labs, and exams.

Course Title: Teaching Techniques for Computer Science

Provided feedback to students following their reflections on their teaching experiences

Supported students, who were also new TAs, as they interacted with students in their roles.

Course Title: Structure and Interpretation of Computer Programs

Met with 4 groups of 5 students for 30 minutes each week to work on problem sets to develop and retain understanding of new concepts.

Facilitated a space where students felt comfortable to share their concerns and struggles with the material.