Projects and Presentations

GitHub | Tableau | LinkedIn | Resume

Supply Chain - Units per Hour

“We manage what we measure, but frequently we measure what is easy” inspired by this quote I found a Kaggle dataset with units and pick time to evaluate.

• Exploring the data I found that there was minimal variance in many features I expected to be predictive.
• I found using a polynomial features model with order complexity was 65% more accurate in predicting the time needed to pick an order.
  Project_Repo | Post_Project_Summary

Natural Language Processing (NLP) Project

• Scrape 1K GitHub repository urls related to “environmental” to create a dataset for analysis.
• Use NLP techniques to explore the data and build a model that predicts the programming language of the repository based on the text in the README.
• Best performing model was a Logistic Regression using TF-IDF, final result was an average of 47% accuracy on unseen data.
  Project_Repo | Post_Project_Summary

Zillow Clustering Project

• Use Zillow dataset from Codeup cloud database
• Using machine learning clustering to find groups within the data and build a model that predicts logerror 5 min notebook walk through
• Identified 4 cluster groups within the data using KMeans algorithm. My best model unfortunately performed 3.6% under baseline using a Linear Regression algorithm.
  Project_Repo | Post_Project_Summary

Zillow Regression Project

• Use Zillow dataset from Codeup cloud database
• Using machine learning build a model that predicts property tax value
• Our best model was a 31% improvement over baseline using a Polynomial Regression algorithm
  Presentation | Project_Repo | Post_Project_Summary

Telco Churn Classification Project

• Investigate Telco dataset for drivers of customer churn
• Using machine learning build a model that predicts customer churn
• My model increased customer churn prediction accuracy from 73% baseline to 87% using a Random Forest classification model
  Project_Repo | Post_Project_Summary

Telco Churn Storytelling Project

Tableau_Project | Post_Project_Summary

Additional Data Analysis Projects

NLP Harry Potter

Jupyter_Notebook | Post_Project_Summary

Fitbit Time Series Analysis

Jupyter_Notebook | Post_Project_Summary

Market Basket Analysis

Jupyter_Notebook

Python Coding Projects

Simple Python games

Project_Summary | GitHub_Repo

Alien Invasion

Project_Summary | GitHub_Repo

Reading List

“Python Crash Course” Eric Matthes
“How Charts Lie” Alberto Cairo

Hobbies

Crochet and Knitting projects completed during Bootcamp
Creatures | Scarves | Hats | More_Hats |