- Created a dashboard to provide a snapshot of the artists represented in the museum
- Used time series analysis to visualize how art acquisition has changed over time
- Used text mining (UMAP dimensionality reduction) to identify similar artworks by analyzing medium descriptions
- NLP Project comparing abstractive text summarization models using podcast descriptions
- Compared PEGASUS abstractive text summerization with the T5 model in the transformers library
- Looked at distribution in length of summary compared to length of original text as well as each summaries
- Identified strengths and weaknesses of each model
- Examined when and where Covid-19 violations are occuring in Nashville
- Mapped coordinates and tags to addresses and businesses using Geocodio and FuzzyWuzzy
- Examined connections between the reported COVID violations and subsequent COVID clusters
- Explored the types of businesses that have been reported as well as how business behavor has changed after an outbreak
- Used binary classification to predict whether an employee would be retained for the following work year
- Analyzed variables to determine which would be most important in my models
- Compared Logistic Regression and Random Forrest Models to see which provided a higher accuracy score
- Geospatial analysis of TN historical seismic activity to determine what regions to allocate earthquake relief funds
- Hands-on experience applying skills in cleaning and aggregating data from multiple sources (including webscraping)
- Assisted in job scheduling for a large computing cluster
- Examined a specific account to improve their efficiency when using the computing cluster
- Identified commonly failing nodes for company to examine for repairs
- Presented findings to stakeholder using visualizations and storytelling