My Work

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Data Exploration & Analysis

• Rosetta Stone User Insights

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  Developed an analytics plan based on customer and product usage to optimize and grow Rosetta Stone’s subscriber base.

• Airline Sentiment Analysis

  Created an executive summary of a Airline Sentiment data set found on Kaggle that contains data from February 2015 from six different airlines.

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Supervised Learning (Regression Models/ Decision Trees)

• Diabetes Project

  Developed a linear regression model to predict the BMI of a patient based on a set of predictor variables. Used variables like BMI to create a logistic regression model to determine if a patient has diabetes.

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• Hotel Cancellations

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  Collaborated with a team to explore a hotel data set found on Kaggle and create various models to predict hotel cancellations.
  

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• Burgers or Pizza

  Created a logistic regression model and decision tree to predict if the item is pizza or burger based on the items nutrition facts.

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Unsupervised Learning (Clustering Models)

• Krispy Kreme Project

  Created three different clustering models to group Krispy Kreme products by various variables.

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Combination of Supervised & Unsupervised Learning

• Spotify Analysis

  Worked in a team of three to explore and analyze a Spotify data set using various regression and clustering models.