Stony Brook applied math and economics graduate turned Data Scientist who enjoys digging deep into data of all types and sizes. She is skilled in data wrangling and data visualization using Python, R, and SQL. Some of her recent work includes using Python to scrape RottenTomatoes.com to identify the features that lead to a profitable movie and then implementing Machine Learning techniques to predict how successful a recently released movie will be. With a proven ability to thrive with colleagues and clients from different backgrounds, she is excited to combine her communication skills with her enhanced analytical and programming skills to extract insights and reveal the story the data has to tell.
