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Hello! 👋

📈 I recently graduated from Duke University with an M.S. in Statistical Science. I have interests in statistical computation, open-source software, and data science!

🚀 I recently interned at NASA's Jet Propulsion Laboratory writing code to simulate failure rates on the Perserverance Rover.

✅ I'm looking for full-time roles in data science and statistics starting in May, so please feel free to reach out if you have opportunities.

Will Tirone 's Projects

521 icon 521

Repo for STA 521, Statistical Learning

521_proj2 icon 521_proj2

A project applying machine learning methods to classify clouds vs. ice in satellite images.

523 icon 523

statistical computing test repo

602 icon 602

repo for STA 602, Bayesian Inference

610_cs2 icon 610_cs2

A case study examining North Carolina elections data through hierarchical modeling.

algo_trading icon algo_trading

Repository for our final project in MA 585 (Algorithmic Trading) taken at Duke University in Spring 2023.

analysis_projects icon analysis_projects

A general exploration of statistical and mathematical methods primarily in Python, with some SAS and MATLAB

applied_stats icon applied_stats

Creating a project to implement various statistical distributions and methods in Python

code_lou_work icon code_lou_work

Mentorship work for Code Louisville for Data 1 and 2 classes

cs520 icon cs520

Repo for Numerical Analysis - CS520

first_year_of_code icon first_year_of_code

This is all of the projects I worked on and uploaded to GitHub during my first year of learning to program.

gitignore icon gitignore

A collection of useful .gitignore templates

ma585 icon ma585

Repository for Math 585, algorithmic trading, at Duke University

nipy icon nipy

Neuroimaging in Python FMRI analysis package

numpy icon numpy

The fundamental package for scientific computing with Python.

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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