Bitwise - SAS Team

[#1]

Team Name	Bitwise
Track	Student Track 2
Use Case	Option 2 | Ethical Data Analysis | Graduate School Admission
Technology	Not defined yet.
Region	LATAM
Team lead	Luna Katalina Quintero Jiménez
Team members	Luna Quintero Jiménez @lunakjimenez  María García Salazar @mcamilags  Mauro González Figueroa @MauroGonzalez51  Michael Taboada Naranjo @MichaelTaboada
Social media handles	www.linkedin.com/in/luna-katalina-quintero-jiménez-549264294  www.linkedin.com/in/maria-camila-garc%C3%ADa-salazar-469362241/ www.linkedin.com/in/mauro-gonzalez-figueroa  www.linkedin.com/in/michael-taboada-naranjo-0263171b1/
Is your team interested in participating in an interview?	Y

Pitch Video:

Jury Video:

Team Photo:

[LGroves]

What a Pitch Video... that was great!!!  Way to bring my fake university to life!

And, overall, great job with your analysis.  I liked how you explained the models under consideration and examined the strength of the predictors across a range of model specifications.  Moreover, I liked the Cluster Analysis flow as a way to make the descriptive statistics a bit more accessible.

A couple of follow-up questions: did you use any of the Fairness + Bias Assessment tools in SAS Model Studio?  And how did you weigh the tradeoff between select variables (i.e., gender/legacy admissions/cultural identity) and overall model fit?

Again, nice work!