Cassandra Morgan
About:
- B.S. in Data Science from Arizona State University (Graduated June 2025).
- Curious, fast learner, enjoys wrangling data and finding data driven solutions to abstract problems.
- Exploring opportunities for internships and entry level positions in data science and data analytics.
Skills: Python, R, SQL, Excel
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Portfolio
Projects
Diabetes Risk Factor Modelling Group Project (Cassandra Morgan, Gabe Pascual, Shan Jiang, Rui Ma)
Used health screening information to create machine learning models to predict which patients are most likely to have diabetes for extra screening/testing for preventative health purposes. Group project.
High Risk Entities CalPERS Analysis
Used data from CalPERS to perform risk analysis. This Tableau dashboard identifies high-leverage local agencies by stratifying their pension debt (UAAL) against their annual budget (ACP), prioritizing the most structurally stressed entities for immediate funding intervention.
An app I made using python that runs an SQL query on the Life Table 2010CM from the IRS (https://www.irs.gov/retirement-plans/actuarial-tables). The data came in a format for reading in print that I first cleaned for data processing. The app executes an SQL query I wrote that filters to the correct data within the table and uses the query to perform the necessary calculations for find the reserve fund necessary for a member of the specified cohort based off the commutation functions from the dataset. Turned into a webapp using flask.
Facial Expression Recognition Machine Learning Models
Uses neural net, random forest, and k-means clustering to classify the facial expressions present in images of human faces and compare efficacy of models.
MPG Predictions Multiple Regression Models (Cassandra Morgan and Miles Williams)
Used linear regression to determine which factors most contributed to the MPG of vehicles based off features.