Shuzhen Yu, MBBS MS

Breast Cancer Diagnosis Data Analysis with Machine Learning and NLP

Data was collected from UC Irvine Machine Learning Repository. Used Machine Learning to create Flask API to predict the breast cancer type by putting the new patient parameter data.

Data and results were displayed in datatable page and Plots. NLP Text Mining and Tableau also were used to analysis and visualize the data.

Deployed the FLASK APP to Heroku.

Airbnb Linstings Analysis in DC

This project analyzed data of Airbnb listings in Washington DC. Created a dashboard to show distribution of listing price, review, availability and crime in different neighborhoods and estimate their relationship.

Collected and cleaned up CSV data, Created a SQLite Database and FLASK API, Used HTML,CSS,Javascript and Plotly to create a dashbaord

Deployed the FLASK APP to Heroku.

Web Visualization Dashboard (Weather_Latitude)

Used Bootstrap, HTML, CSS to create visualization dashboard website using visualizations tools and the API data.

In building this dashboard, I created individual pages for each plot and a means by which user can navigate between them. These pages will contain the visualizations and their corresponding explanations. I also created a landing page, a page where user can see a comparison of all of the plots, and another page where user can view the data used to build them.

All of the websites work at all window widths/sizes and the main website was deployed to github pages.

Visualizing Citi Bike Data with Tableau

Used Tableau to create Dashboard based upon the citi_bike 2018 Data.

Belly-Button-Biodiversity-JavaScript-APIs-and-SQLAlchemy

Builded an interactive dashboard to explore the Belly Button Biodiversity DataSet using Bootstrap, JavaScript and Plotly.

Created Flask API to serve the HTML and JavaScript required for dashboard page and Plotly.js to build interactive charts for dashboard.

Mission to Mars

Builded a web application that scrapes various websites for data related to the Mission to Mars and displays the information in a single HTML page.

Scraped the Mars related websites using Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter.

Used MongoDB with Flask templating to create a new HTML page that displays all of the information that was scraped from the URLs above.Use Pymongo for CRUD applications for database

Builded a web application that scrapes various websites for data related to the Mission to Mars and displays the information in a single HTML page.Use Bootstrap to structure HTML template

Surfs Up!

Provided a climate analysis API to help with user's trip planning in Honolulu, Hawaii

The climate data for Hawaii is provided through two CSV files. Start by using Python and Pandas to inspect the content of these files and clean the data.

Used SQLAlchemy to model the table schemas and create a sqlite database for the tables.

Used Python and SQLAlchemy to do basic climate analysis and data exploration on the new weather station tables. All of the following analysis will be completed using SQLAlchemy ORM queries, Pandas, and Matplotlib.

Designed a Flask APP based on the queries that I have just developed.

Distinguishing Sentiments--News Mood

Used Twitter API, Jupyter Notebook, Matplotlib and Seaborn libraries to create Python script to perform a sentiment analysis of the Twitter activity of various news oulets, and to present the findings visually.

Pymaceuticals Inc

Analyzed the data to show how four treatments (Capomulin, Infubinol, Ketapril, and Placebo) compare to help the screening for potential treatments to squamous cell carcinoma (SCC)

Used the Pandas Library, the Jupyter Notebook, the Matplotlib and Seaborn libraries to create scatter plots and bar graph that compares the tumor volume, Metastasis sites change for each drug across the treatment.