Ming Qiu

A CS master student at ASU seeking ML/AI/DS/SWE Intern opportunity | Machine Learning specialty | Interested in Data Science and Machine Learning field

Education

• Masters of Science (Computer Science), Arizona State University, 2023-2025
• Bachelors of Science (Cognitive Science Machine Learning specialty), University of California, San Diego, 2020-2022

Project 1: Sentiment Analysis of COVID-19 on Twitter

Photo by Ming Qiu

This project Measures the sentiment of tweets through a polarity scale and variables such as language, ngrams, tweet length, favorite and retweets, followers and statuses, and hashtag usage. Personal Distribution: analyzed and visualized the common used hashtags and the common used words in the text of tweets, research on major vaccine announcement as well as the visualization of the sentiment of the tweets on these days.

• Python libraries used: Numpy, Pandas, Seaborn, WordCloud, matplotlib
• Input: Tweets, hastags
• Output: Sentiment

Project 2: Predicting Stroke Based on Patient Lifestyle and Health Information

Photo by Fakurian Design on Unsplash

This project makes use of backward stepwise feature selection and K Fold Cross Validation to determine the model that performs the best prediction on stroke.

• Python libraries used: Numpy, Pandas, sk-learn, matplotlib
• Input: Patient Lifestyle and Health Information
• Output: will have stroke or not

Project 3: Health Expenditure

Photo by Bermix Studio on Unsplash

This project analyzes the relationship between how much is being spent on healthcare (healthcare expenditure) and healthcare coverage and how it changes in certain years, and how the expenditure varies from different regions.

• R libraries used: tidyverse, OCSdata, ggrepel, magick
• Input: Healthcare Spending and Healthcare Coverage
• Output: will have a relationship or not