Like most Asian immigrants, my parents emphasized the importance of school, with college graduation as the gateway to the American dream. Because of that, I never questioned whether I should go to college or not. It was more a matter of which one.
Back when I was deciding, I did not do a cost-benefit analysis as I’d done with the model I’ll talk about later, though maybe I should have. Instead, I thought more about two things:
1. Which college felt like Hogwarts, and more importantly,
In previous years, film studios received criticism regarding the lack of diversity in their cast. Movements like #OscarsSoWhite in 2015 and #whitewashedOUT in 2016 demanded more representation in Hollywood.
So when assigned a project to offer business recommendations to Microsoft if the company were to enter the film industry, diversity and inclusion emerged at the forefront of my analysis. I looked into the racial makeup of the top-grossing actors to test whether the Box Office responded to those demands, asking “How has the demographic of top-grossing actors changed since 2010?”
When I first started browsing career choices, I almost immediately turned away from data science because of the requirements listed in the job postings:
At the time, my coding skills were super limited, my Masters degree had nothing to do with data science, and my career experience revolved around fighting inequities for Black and Brown children as an elementary school teacher. Already buried in student loan debt, getting another Masters degree did not seem…
Experienced educator, aspiring data scientist.