Charlie Schlinkert
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Data Science

 

Since graduating from Flatiron, I’ve been working on several passion projects to hone my data science skills.

 
 
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MLB Database and Predictions

How can you not get romantic about baseball? I love the sport, and it has a rich history of statistical analysis. I used SQLAlchemy to create a normalized database with information parsed from the MLB API, and I’ve been using that data for several projects including game predictions and pitch classification.

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Wine Recommender System

I have an awesome local wine store, but I hardly know a thing about wine. So I created a wine database with information scraped from multiple sources to recommend bottles of wine based on their similarity to wines that I’ve enjoyed in the past. Check out the code here.

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Churn Predictions

With this project, I wanted to predict Customer Lifetime Value for a subscription business. Using a sample dataset, I built a model to predict customer churn, and I’m using the results to predict CLV. Check out my progress on my Dash app or Github.

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Movie Genre Classification w/ NLP

As part of an assignment at Flatiron School, we were tasked with classifying a movie’s genre using only it’s plot description. Our task was to build a model that optimized weighted f1 score, and our results were tested with a previously unseen test dataset. You can my blog post on the topic here.