Data = power.
Sports. Law. Writing. Mom of two.
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I utilized SQL to analyze healthcare data and answer hospital management’s questions.
This murder mystery starts with just three pieces of information: the type of crime—murder—and the date and location. Using optimized SQL queries, I found out who the murderer was—and who hired him.
The Massachusetts Board of Education has a lot of data available about its schools and districts, but they also need answers to specific questions. I used Tableau to create a dashboard answering those key questions visually.
I took bikeshop data regarding sales of different types of bikes and generated a report. Here is the code used to generate the report.
In the NFL, draft picks are considered valuable commodities, especially first-round picks. I examined whether that is the case in the MLB using WAR and All-Star Game data and drew some conclusions about prospects, as well. Here is the code I wrote to generate my insights.
In the NBA, a team’s points, three-point shooting percentage, assists, and rebounds can shake down in many ways according to position. I analyzed how these different scoring metrics break down by team and position using a Tableau story.
Following the New York Jets’ first loss to the New England Patriots in 2022, 22-17, I went back into NFL history from the last 20 years to explore what the data says about Zach Wilson’s long-term prospects. The answer was grim, and it bore out in the fact that he was benched before completing his second season as the former No. 2 overall pick.
There was a perception among some New York Jets fans that Zach Wilson’s height made it more difficult for him to succeed as an NFL quarterback. I decided to look back at both the numbers and the history of previous quarterbacks of a similar height to explore whether the claim had any merit.
Heading into the 2022 season, the New York Jets had a lot to improve on offense. I took a look at some of their offensive play-calling trends and discussed what needed to change for the Jets to be successful.
As the New York Mets neared the 2022 playoff push, I explored their offensive struggles and how they might cause the team issues heading into October.
You can find the code that I used to generate the data here.
Using a metric called XPASS, I examined the Jets’ play-calling tendencies in their 20-12 loss to the Bills from 2022 and explained how the predictability directly contributed to their defeat.