Projects
Naive Bayes Classifier From Scratch
The aim of this paper and project is to recreate my own implementation of the Naive Bayes Classifier. The paper then compares the performance of my implementation against the Scikit-learn implementation.
Code here
Classifying Shopper Intention
The aim of this project is to try to predict whether an online shopper will go through with a purchase or exit the webstie they are on. The data is taken from a dataset in the UCI Machine Learning Library.
Predicting Carbon Export Using Satellite Data to Estimate Mean Planktonic Size and Sinking Speed
This project was my senior thesis that I completed a little after 1 year of research in my lab. Our lab is a physical oceanography lab, so my thesis focused on using remote sensing data to estimate a measurement of plankton, combined with in-situ data to create a carbon export model using a modified sinking speed model of diatoms. More can be found in the thesis!
Comparisons of Physical Properties of Ocean Subsections of Similar Latitudes to In Situ Data
This was a analysis of thermophysical properties of ocean subsections of similar latitude. This was a paper that served as a prerequisite for my senior thesis.
Profiling Potential Mortgage Customers Using Pennsylvania Census Data
This is a project I worked on for a Data Analysis class as part of my Data Science Certificate at UC Irvine. This project centers around using KNIME to create a workflow for importing data in KNIME, cleaning the data, splitting the data into training / test sets, and creating a model to predict final outcomes of whether a customer purchases a mortgage.
