A cumlative project to analyze and develop an investment strategy for AMC.
Providing meaningful insight and analysis to drive startup direction and proof of concept to ensure investors are as protected from risk as possible.
An in-depth analytical approach and investigation toward healthcare facility optimization.
A cumlative project to analyze and develop an investment strategy for 3D Systems Inc.
A cumlative project to analyze and develop an investment strategy for Tesla and Facebook.
A Python implementation of statistical analysis and machine learning to classify and understand the difference between two wage earnings groups.
Thorough statistical analysis and machine learning to understand and classify iris plant species.
An implementation of various machine, deep, and statistical learning methods to best classify heart disease diagnosis.
Using advanced generalized linear models and machine learning techniques to classify wine by type subjugated solely by continuous features
Utilizing various supervised learning methods, the damages reported in thousands of US dollars was modeled and predicted with adequate accuracy.
Statistical Time Series Analysis of Tesla, or TSLA, to quantify this seemingly volatile asset.
In the paper included, I generated a linear model to understand and predict the ratings of Madison-Area restaurants. Using R & RStudio to build and train the model.
Working with a team of students, and Argonne National Laboratory scientists, we produced a research project and poster to understand the level of manganese in surrounding areas near a coal plant, as this was an influential case with the NRDC of Chicago.