Isabel Litton

Master's Candidate in Analytics @ USF



About Me


I'm currently getting my Master's in Analytics at the University of San Francisco while working as a Data Engineering Intern at Wikia. I've enjoyed working on projects ranging from sentiment analysis of TV show tweets to image recognition of cars. In my free time I love binge watching shows on Netflix and playing video games.

Feel free to check out my project portfolio or visualization portfolio to learn more about my work.


Machine Learning:
Car Detection

Built AdaBoost function from scratch that classified cars in dashcam videos with an accuracy of 99.8% (Python, OpenCV, AWS)

Code

Presentation

Demo

Sentiment Analysis of Tweets
to Predict TV Show Ratings

  • Produced a package for automated Twitter data mining (SAS, SQL)
  • Predicted IMDB television ratings through sentiment analysis of TV show tweets (Python, SAS, SQL)

Package Code

Report

Apple App Store:
Sentiment Analysis Viz

A logistic regression classifier was trained on movie reviews from Stanford’s “Large Movie Review Dataset v1.0” to classify app reviews. The visualization illustrates the top 10 apps for a given category by sentiment polarity and rating.

Visualization

Captain America Civil War:
Character Viz

This visualization is an exploration of Civil War characters and determines which side would win based on random categories such as:

  • Number of lines in film scripts
  • Gross revenue of films
  • Total weight
  • Total height

Visualization

Google Trends for
Netflix Shows

This visualization is an interactive map of Google Trends Search Volumes for Netflix shows.

The values represent the search volume relative to the highest point on the map which is always 100.

Visualization

University of San Francisco:
Master's in Analytics Program

The Master of Science in Analytics (MSAN) is a one year program with courses including:

  • Text mining
  • Machine learning
  • Statistical modeling
  • Predictive analytics
  • and much much more…