The Multibias R Package is now Available on CRAN

I decided to take the time to polish off the R package I had started around five years ago and finally get it over the finish line of a CRAN acceptance. Last week that goal was finally realized. You can check out the CRAN link here. [Read More]
Tags: R

Beating Fanduel's NBA Sim Sports

We’re a couple weeks into life without professional sports and everyone is looking for ways to rekindle the flame that sports brought to our lives. For one particular group, the sports gamblers, the struggle is very real. Some are turning to e-sports. Some are betting on the weather. Some are... [Read More]
Tags: R, simulation

Making the Model Part 3 - Feature Engineering

This is the third post in a series called Making the Model, which documents my journey to building a data set and creating the best model to predict baseball daily fantasy sports (DFS) scores. With the projected performances from such a model, a user can set an optimal lineup in... [Read More]
Tags: Python

Making the Model Part 2 - Identifying Bottlenecks

This is the second post in a series called Making the Model, which documents my journey to building a data set and creating the best model to predict baseball daily fantasy sports (DFS) scores. With the projected performances from such a model, a user can set an optimal lineup in... [Read More]
Tags: R, profvis

Making the Model Part 1 - Web Scraping

This is the first post in a series called Making the Model, which documents my journey to building a data set and creating the best model to predict baseball daily fantasy sports (DFS) scores. With the projected performances from such a model, a user can set an optimal lineup in... [Read More]
Tags: R, Python, rvest

My Insight Data Science Project

While at Insight, I had the opportunity to create a data science project that demonstrates my ability to perform an analysis that creates business value within a short timeframe (about three weeks), simulating how data science operates in an industry setting. For this project I consulted with Zendo Tools, a... [Read More]
Tags: Python, K-means clustering, Gaussian mixture model

Who is the Most Talked About Player in r/fantasybaseball?

While going through the “Nightly Anything Goes” thread in Reddit’s r/fantasybaseball, I noticed one user’s comment on the hivemind nature of the community and how every week there’s a new player that people won’t stop talking about. This got me thinking - who is the most talked about player in... [Read More]
Tags: R, wordcloud, RedditExtractoR

Analyzing the 2017 Fantasy Baseball Standings

I was interested in taking a look at the standings of my fantasy baseball league to see which teams acutally belonged in their respective ranking, as indicated by their expected roto ranking. I was having a hard time extracting the data from the ESPN Fantasy site into R using the... [Read More]
Tags: R, datapasta, ggplot2