christybell

Amazon_Vine_Analysis

For this project, I entered the world of Big Data, learning about Spark and cloud services from AWS and performed ETL on a dataset from Amazon Reviews.

austin_project

This repository contains my final project for UT Austin's Data Analytics Bootcamp. My teammates and I explored a Wine Reviews dataset and built an interactive Tableau dashboard to recommend wines for a novice based on price, rating, variety and country. We also built a machine learning model to train it to rate wine like an experienced sommelier.

belly_button_diversity

In this project, I built an interactive dashboard using JavaScript and Plotly.js to explore data on the biodiversity of belly buttons. Then, I deployed my dashboard to a cloud server.

Bike_Sharing

For this project, I used the ever-popular data visualization software tool, Tableau, to create and present a business proposal for a bike-sharing company.

Credit_Risk_Analysis

For this project, I predicted credit risk with the supervised machine learning models I built and evaluated using Python.

final_project_template

Mapping_Earthquakes

For this project, I used JavaScript's Leaflet library along with the Mapbox API to create visualizations of earthquake data I retrieved from the U.S. Geological Survey website.

MechaCar_Statistical_Analysis

For this project, I applied my understanding of statistics and hypothesis testing to analyze a series of datasets from the automotive industry. All of the analysis and visualizations were written in the R programming language.

Mission-to-Mars

For this project, I built a web application to scrape websites for data about the Mission to Mars, and then created an HTML page using Flask to display the findings.

stock-analysis

In this project, I explored green energy stock performance by analyzing financial data using VBA.

christybell/Amazon_Vine_Analysis

For this project, I entered the world of Big Data, learning about Spark and cloud services from AWS and performed ETL on a dataset from Amazon Reviews.

christybell/austin_project

This repository contains my final project for UT Austin's Data Analytics Bootcamp. My teammates and I explored a Wine Reviews dataset and built an interactive Tableau dashboard to recommend wines for a novice based on price, rating, variety and country. We also built a machine learning model to train it to rate wine like an experienced sommelier.

christybell/belly_button_diversity

In this project, I built an interactive dashboard using JavaScript and Plotly.js to explore data on the biodiversity of belly buttons. Then, I deployed my dashboard to a cloud server.

christybell/Bike_Sharing

For this project, I used the ever-popular data visualization software tool, Tableau, to create and present a business proposal for a bike-sharing company.

christybell/Credit_Risk_Analysis

For this project, I predicted credit risk with the supervised machine learning models I built and evaluated using Python.

christybell/final_project_template

christybell/Mapping_Earthquakes

For this project, I used JavaScript's Leaflet library along with the Mapbox API to create visualizations of earthquake data I retrieved from the U.S. Geological Survey website.

christybell/MechaCar_Statistical_Analysis

For this project, I applied my understanding of statistics and hypothesis testing to analyze a series of datasets from the automotive industry. All of the analysis and visualizations were written in the R programming language.

christybell/Mission-to-Mars

For this project, I built a web application to scrape websites for data about the Mission to Mars, and then created an HTML page using Flask to display the findings.

christybell/stock-analysis

In this project, I explored green energy stock performance by analyzing financial data using VBA.

christybell/UFOs

For this project, I used JavaScript, HTML, and CSS to create a custom webpage that showcases different UFO sightings around the world.

christybell/Cryptocurrencies

In this project, I used unsupervised machine learning techniques to analyze cryptocurrency data.

christybell/Election_Analysis

For this project, I used the power of Python to automate the vote-counting process for a local election.

christybell/kickstarter-analysis

Using Excel, I analyzed a dataset consisting of 4,000 crowdfunding projects to discover hidden trends.

christybell/Movies_ETL

For this project, I performed ETL on several movie datasets to predict popular films for a streaming service.

christybell/Pewlett-Hackard-Analysis

For this project, I created entity relationship diagrams (ERDs), performed data modeling, and completed analysis on an employee database using SQL techniques.

christybell/portfolio

christybell/PyBer_Analysis

For this project, I analyzed and visualized ride-sharing data using the power of Python, Pandas, and Matplotlib.

christybell/School_District_Analysis

In this project, I used Python and Pandas to analyze school district data and showcase trends in school performance.

christybell/surfs_up

I used Python, SQLAlchemy, and Flask to analyze and visualize climate data for opening a surf shop in Hawaii on the beautiful island of Oahu.

christybell/tectonicplates

christybell/Weather_Analysis

In this project, I plotted the relationship between latitude and weather for cities around the world using Python, Pandas, and APIs.