This blog post shows my exploration of traffic patterns in Travis County. I use a dataset of traffic incidents from data.austintexas.gov and folium to create several maps as well as animated heatmaps of traffic to unearth patterns in accidents where I live.

This is my video introduction essay for the 2019 Bridge MSBA Program at The University of Texas at Austin.

In this post, I tell a classic story of selection bias, explain the significance to data science, and suggest methods to prevent selection bias in data science.

In this post, I show my entire process for my submission to the Kaggle competition for predicting house prices. I explore 80 variables to understand the Ames Housing dataset and use gradient boosting to predict sales prices.

In this post, I demonstrate how to use Plotly in Jupyter Notebook to create interactive plots. I also have a few pro tips for spicing up your notebook with Ipython.display

In this quick post, I look into what days my birthdays fall on and when I can expect that elusive weekend birthday.

This blog post shows my data exploration, data cleaning, and use of machine learning on the Titanic dataset. I use logistic regression to try to predict which passengers survived the tragedy.

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