My Data Analytics Portfolio

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General Analytics Projects

[HR Employee Attrition Reduction]

I wrote and built custom functions and models in R to assess the main drivers behind employee attrition and implemented a personalized plan to promote retention, which saved a company $15 million.

Bikeshop Data Exploration and Recommendations

I took bikeshop data regarding sales of different types of bikes and generated a report. Here is the code used to generate the report.

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Sports Analytics Projects

What is a first-round pick worth in baseball?

In the NFL, draft picks are considered valuable commodities, especially first-round picks. I examined whether that is the case 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.

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The numbers prove that Zach Wilson’s chances of turning around are minuscule

Following the New York Jets’ first loss to the New England Patriots this season, 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 is bearing out in the fact that he was benched before completing his second season as the former No. 2 overall pick.

Does Zach Wilson’s height affect him as a quarterback?

There is a perception among some New York Jets fans that Zach Wilson’s height makes 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 has any merit.

How Mike LaFleur can improve his play-calling in 2022

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.

Why the New York Mets’ offense is a big problem heading into the playoffs

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.

The New York Jets’ play-calling was predictable in Week 14 loss to Bills

Using a metric called XPASS, I examined the Jets’ play-calling tendencies in their 20-12 loss to the Bills and explained how the predictability directly contributed to their defeat.

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