Within this project, I used Python to balance a credit card dataset, split the dataset into features and targets, created training and testing datasets, trained a Logistic Regression machine learning model, and lastly evalauted the accuracy of my model.
In this project, I used the API Documentaion from CoinMarketCap to pull cryptocurrency data and used Python to transform it to make it suitable for analysis and visualizations.
In this project, I built a webscraper in Python that took data from Indeed to display important information across multiple pages of job postings.
Within this project, I used Python to look at the coorelation factor for multiple variables and their impact on a movie's gross revenue.
In this project, I took a COVID dataset, queried it in SQL, transformed it in Excel, and then visualized it in Tableau to display COVID statistics.
In this project, I split a COVID dataset in Excel into information regarding COVID deaths and vaccinations, and I explored this data in SQL Server.
Within this project, I took housing data from an Excel file and prepared it for data analysis tasks using SQL Server.
Dallas, Texas
College: UT Austin