Writings and Work
In this section you will find some of my selected projects and writings showcasing my various skills and interests; 3D printing and engineering, statistical analysis, machine learning, and more!
Financial and Statistical Analysis AMC Entertainment Holdings Inc.
A cumlative project to analyze and develop an investment strategy for AMC.
AMC Report.pdfExploratory Statistical and Machine Learning Analysis for Peer Lending Applications
Providing meaningful insight and analysis to drive startup direction and proof of concept to ensure investors are as protected from risk as possible.
Exploratory Analysis For Peer Lending Applications.pdfA Robust Analytical Solution Applied to Healthcare
An in-depth analytical approach and investigation toward healthcare facility optimization.
A Robust Analytics Solution Applied to Healthcare.pdfFinancial and Statistical Analysis 3D Systems Inc.
A cumlative project to analyze and develop an investment strategy for 3D Systems Inc.
sas-ddd-report.pdfFinancial and Statistical Analysis of Tesla and Facebook
A cumlative project to analyze and develop an investment strategy for Tesla and Facebook.
Financial Analysis – TSLA & AAPL.pdfInvestigating Wage Earning Groups Using Machine Learning and Statistical Analysis
A Python implementation of statistical analysis and machine learning to classify and understand the difference between two wage earnings groups.
Investigating Wage Earning Groups Using Machine Learning and Statistical Analysis.pdfRobust Statistical Analysis and Machine Learning for Iris Classification
Thorough statistical analysis and machine learning to understand and classify iris plant species.
Robust Statistical Analysis and Machine Learning for Iris Classification.pdfStatistical and Machine Learning for Heart Disease Diagnosis
An implementation of various machine, deep, and statistical learning methods to best classify heart disease diagnosis.
Statistical and Machine Learning for Heart Disease Diagnosis.pdf L1, L2 Regularization and Machine Learning For Wine Classification
Using advanced generalized linear models and machine learning techniques to classify wine by type subjugated solely by continuous features
L1--L2 and Machine Learning Models For Wine Classification.pdf Machine Learning for Characterizing Climate-Related Disasters
Utilizing various supervised learning methods, the damages reported in thousands of US dollars was modeled and predicted with adequate accuracy.
Machine Learning For Climate-Related Damage.pdfFinancial Time Series Analysis of Tesla
Statistical Time Series Analysis of Tesla, or TSLA, to quantify this seemingly volatile asset.
Tesla Financial Time Series Analysis.pdf
Modeling to Predict Yelp Star Rating
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.
Yelp Data Analysis Report.pdfManganese Levels of the Western Suburbs in Comparison to Chicagoland Suburbs Near an Open Air Pet-coke Pile.
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.
Updated Poster for Website.pdf