Improving job applications in Streamlit

Often, data science and machine learning job applications rely on take-home data science challenges to judge candidates. Frankly, this is a brutal and annoying experience that companies can demand because of the dynamic between the applicant and the employer. For instance, it could take a candidate 5–10 hours to fully complete a data science challenge, but it might only take the employer 10 minutes to evaluate it. Additionally, an individual virtual or telephone interview might take 30–45 minutes for the employer, plus an extra 15 minutes to write up feedback, compared to the same 30–45 minutes for the applicant. Because getting 5–10 hours of work gives them a very high signal per minute of employee time, employers have trended toward including these challenges within their job applications.

You can use the opportunity here to use Streamlit to stand out from the crowd by creating a fully functioning application...