No single algorithm solves every scramble. You need to know which one to reach for at each stage, and in what order. Below is Stephanie's algorithm library. The projects further down are that library put into practice.
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Currently training for the Microsoft Excel World Championship, just for fun!
Below, you’ll find some examples of Stephanie's favorite projects:
Using mock data, this project provides an example of how Stephanie could help a bank learn from the feedback of its customers. An opening executive summary lays out data on why customers are complaining, where they’re filing those complaints, and how fast the average response time is. The data aims to be usable and accessible for bank executives looking to improve the customer experience.
In this present to her husband, Stephanie mines his Goodreads data for patterns and trends. The project contains analyses like comparing his personal ratings to community averages, sorting the books he reads by time period, comparing his fiction vs. nonfiction consumption, and examining the genre distribution of his reading habits.
In a survey of her own friend group, Stephanie analyzes data about how people prefer to be contacted, why they don’t text back, and what makes them likely to commit to plans. It’s a study of social communication and the “whys” of human interaction.