This multi-stage project uses Tableau and R to process, clean, and visualize the same data regarding the 2008 financial crisis. Similar visualizations were developed in Tableau and R to demonstrate proficiency with both tools. The Story from Tableau can be found here
This project uses R to predict the prices of cryptocurrencies from historical price data and data collected from Twitter using R and Tensorflow.
This project used Python to create data visualizations, descriptive analysis, and regression analysis to explore the impact of government responses on the CoVID-19 pandemic.
Tableau visualization of the 2008 financial crisis causes and impacts; demonstrating expertise in color application, dashboard creation, and data storytelling. The data processing and cleaning steps can be found here
In this project, we use Python to clean and process the full text transcripts of over 800 podcast episodes. The output is ready for analysis or could be used as training data for a Large Language Model.
In this project, I used Tensorflow and Python to build a rudimentary Large Language Model based on the transformer architecture.
In this project, we used python to web scrape the full text transcripts of over 800 podcast episodes.