• Improved Grammarly Business mobile flows

Data Interaction Group

• Integrated column summary into AutoProfiler, a Jupyter Notebook extension using Svelte, JavaScript, and Python

• Developed a n-gram visualization for qualitative columns

• Developed a prototype of fact generation to fact selection pipeline in Python (NumPy, Pandas)

AISL Social Programmable Robots

• Analyzed data from a workshop where ten young girls of color learned how to program and explore their intersectional identities with a social programmable robot

• Categorized a random sample of utterances implementing a bottom up approach to understand how learners from different backgrounds engaged in the workshop

• Cleaned and interleaved of 1800+ student utterances (from transcript and zoom chats) with Python script

ClassInSight

• Focused on understanding how to improve the ClassInSight interface to facilitate teacher discourse within the classroom and their role by providing them with a sense of agency

• Performed qualitative analysis by sifting through interviews of 5 STEM teachers and then formulating nine themes showcasing their obstacles, goals, etc.

• Collaboratively derived 8 design suggestions for the ClassInSight app to allow teachers to make meaningful reflections based on analysis of teacher interviews and review of existing literature