Created a model to predict UFC matches
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Conducted a research project to study the performance of programming tasks of different LLMs vs. Humans
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Conducted a research project to create a model which would optimize NFL coach's 4th down decision making process.
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I created a functional sportsbetting Website. Using an API I scrape betting odds from all available fixtures across 30+ professional sportsleagues. Users can create an account and then place bets on the available fixtures. There is no real money being transferred through the website but it keeps track of winning/losses. Users can view their pending bets, and bet history.
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Using three different machine learning techniques my group and I created models to predict wine quality achieving final results upwards of 88% accuracy.
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In my project, I employed various classification models to identify letters from UCI's Letter Recognition dataset, enhancing performance and efficiency through Principal Component Analysis (PCA) for dimensionality reduction.
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Data Scientist
