My Featured Projects
Below, I created several projects that show off my skills in data analysis
using R, Python, SQL and Tableau, and MS PowerBI to create a story.
GE Attrition and Salary
Model Capstone
To help GE reduce employee turnover, I created a predictive data analytic model with documentation and visualizations using R and Rattle that will serve as a report for stakeholders to effectively communicate the potential value of the predictive model and how it can add to the organization.
Movie Industry Correlation Analysis
I utilized Python and Jupyter Notebook to import movie industry file from Kaggle (CSV file) and prove my hypothesis that there is a strong correlation between how much the budget for the film was to its gross earnings. I used Seaborn, Pandas, and Matplotlib to run statistical analysis and create visualizations to tell the story of the data.
COVID-19 Analysis
and Presentation
I utilized SQL for data exploration and Tableau for data visualization methods. The skills I used are joins, CTE's, Temp Tables, Windows Functions, Aggregate Functions, Creating Views, and Converting Data Types. This was my first project using SQL.
Nashville Housing Data Cleaning
I used SQL to clean housing data by standardizing the dataset, separating addresses into individual columns, removing duplicates, and deleting unused columns.
TIC Caravan Insurance Predictive Model Analysis
In this project, I was tasked to create a predictive model to determine which existing customers would be the most likely to buy new caravan insurance from The Insurance Company (TIC). Using R, I evaluated several predictive models including decision tress and linear regression. After careful evaluatuion of the models, I determined that a random forest model would be TIC's best choice to meet their needs.
Finance Report
This is my first project using Python for data analysis. This project focuses on exploratory data analysis of stock prices. I utilized Seaborn, Pandas, and Matplotlib to visualize various graphs.