Why I made this

I'm Aalay, a high school student from Sammamish, Washington. I like math, finance, basketball, and piano, and at some point I realized that the same kinds of models show up in all of those things. Growth curves describe tumors and product adoption. Spectral decomposition describes ragas and overtones. Expected value describes shot selection and portfolio allocation.

Pattern is my attempt to take that idea seriously. Each investigation starts with a question I couldn't answer by Googling, pulls a public dataset, applies a model, and shows the work. Some of the models hold up better than others, and I try to be upfront about that in the limitations sections.

About me

Aalay Shah

High school researcher from Sammamish, Washington. I play basketball and piano, and I plan to study applied mathematics. My work has appeared in the National High School Journal of Science and the Oxford Journal of Student Scholarship.

Papers I've published

How I try to do this

Three things I hold myself to.

01

Use real data, and link to it

Every dataset links to a public source you can check yourself. When data is missing, I say so rather than filling the gap.

02

Show the method

Every investigation includes the method, the data dictionary, and enough detail that someone with the source data could redo the analysis from scratch.

03

Write the limitations

Every investigation has a limitations section. Good analysis is honest about what the data does not show, and null results get published here too.

Where the data comes from

Government databases, university repositories, league APIs, and peer-reviewed open datasets. Where a dataset uses synthetic or simulated values, it's labeled as such.