Name: Jennie Le
Type: User
Company: Gabelli School of Business, Fordham University
Bio: Hi, I'm Jennie. I am a data scientist.
I develop predictive models, build ML solutions, and craft stories through visualization.
Location: New York
Blog: https://tle35.medium.com/
Jennie Le's Projects
Get to know me as a data scientist by clicking on this: "bigforehead.github.io"
Classify Fake and Real News
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Performed exploratory data analysis using plotly, seaborn, matplotlib, and pygal to visualize the rapid spread in the novel corona-virus across countries with John Hopskin University datasets.
An application of Natural Language Processing and Machine Learning to classify topics and sentence structure with Google QUEST Q&A Labeling datasets . The goal is to improve automated understanding of complex question answer content.
Engineered new features, performed exploratory visualization with Tableau, and applied Logistic Regression, Random Forest, Grid-Search and Cross Validation to build a predictive model that forecasts outcomes of the NCAA March Madness championship.
An application of collaborative filtering (PySpark, ALS, MLlib) and content-based filtering algorithms (NLP) to build a personalized song recommender based on listeners' behavior and a lyric-based song recommender for new users.
Applied Machine Learning and Natural Language Processing to build a Random Forest Classifier that filters malicious bots with 97% of accuracy.
Scraped ice-cream shops information on Yelp with Beautiful Soup, used Pandas to output the result in a table and visualized the ice-cream shops rating with Matplotlib.