Software delivery expert: Appian Developer by day, hockey data science enthusiast by night. Applying my data science skills to my life long passion of hockey.
Please reach out to me with any questions you have about my projects, or any interesting opportunties you want to explore.
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Summary : Created a report and model to gauge the effectiveness of a the NYU Chat Bot : “BobChat”. I used data visualizations to determine the overall sentiment of the messages and the Chat Bot’s effectiveness in answering. I created a sentiment analysis model to predict the sentiment of the message and performed a statistical analysis of the model’s performance.
Hockey has been a passion of mine my entire life, and now that I’m done playing I’m trying to find a way to fit it back into my professional life. I don’t think you can grow up in Michigan in the late 90s, early 2000s and not be a hockey fan, but it probably didn’t help that my Canadian grandmother was buying me skates at 2 years old.
Summary :
Using 2015/2016 NHL Play By Play data I created an Expected Goals model which predicts the likelihood a shot will go in the net based on several factors. With this model I can determine if a player performed above or below their expected output for a game. The model is a multiple parameter logistic regression.
Summary : In trying to investigate the old hockey saying of “Catching your second wind” we discovered that there is no evidence to show that playing a long first shift will have a positive impact on the players goal output for that game. We this based this experiment on 2016 NHL season shift and goals data. In future iterations I would like to expand the experiment to points instead of just goals, and possibly other analytic metrics like corsi. I would also like to test if there is an impact on having a long shift at any point throughout the game and not just the first shift.
Summary : Growing up I found it difficult to find hockey tryout information, where the team and tryout was located, find tryouts for different leagues, find tryouts near me for any leagues. This website is a solution to that problem. In its first iteration I scraped the website for the best junior league in the United States the United States Hockey League (USHL). After that I used Google Map Api and Folium to create an interactive map to display the markers with tryout information and location of all the teams. In future iterations I would like to add a second league (North American Hockey League - NAHL), use the location information for each tryout and team instead of just the team, and a webpage filter to limit the amount of teams shown by league.
[Coming Soon]
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