Based in San Diego, California
I'm an enthusiastic data analyst with a passion for creating beautiful visualizations that turn raw data into information and insight. I also enjoy spending time with my dogs and playing board games with family and friends. I love solving escape room puzzles in my free time; I've completed over 65 escape rooms. :)
Some of my skills:
Data Science and Visualization Certificate
Through an immersive curriculum, I learned in-demand skills such as machine learning, SQL, Tableau, Python, Pandas, Excel, VBA, HTML, JavaScript, and R.
B.S. Biological Sciences: Physiology and Neuroscience
Minor in Psychology
Fitness Specialist Certificate
An analysis using unsupervised machine learning models to group cryptocurrencies that are currently on the trading market to create a classification system for a new investment portfolio.
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A collaborative analysis examining data on mismanaged plastic in oceans. Machine learning models sought to determine if there is a correlation between a country's GDP (Gross Domestic Product) and their amount of ocean plastic pollution. Using Tableau, I created visualizations of the findings.
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Using JavaScript and the D3.js library to retrieve the coordinates and magnitudes of earthquakes from GeoJSON data. Then utilizing Leaflet library to plot the data on a Mapbox map through an API request and create interactivity for the earthquake data.
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Using supervised machine learning to determine which model is best at predicting credit risk amongst random oversampling, SMOTE, ClusterCentroids, SMOTEENN, Balanced Random Forest, or Easy Ensemble Classifier (AdaBoost).
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An analysis of Pewlett Hackard employees using SQL (PostgreSQL) and relational databases.
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Creating Tableau visualizations to analyze New York City bike-sharing data to inform decisions about a potential similar program in Des Moines, IA.
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