CURRENT PROJECT(S)
BAESIAN STATISTICAL ANALYSIS:
I am currently working my way through Statistical Rethinking by Richard McElreath and loving it.
PAST PROJECTS
Titanic in Space:
As I start to spend more and more time gravitating toward Python and ML, I have started participating in the fun competitions over at Kaggle.com. For this particular challenge, I built a random forest model that was able to predict with 79% accuracy whether or not a space-traveler got transported into another dimension or not.
Titanic on Earth:
This was my very first Kaggle machine learning challenge. I learned so much doing this, and these problems have proven to be wonderful practice for learning to be more fluent with Python and solving difficult problems with code. My first model using this data scored me in the top 7% of people in the competition.
Darwin’s Finches Project Description:
I was searching the Kaggle database for new project ideas, and found that they had a dataset from Peter and Rosemary Grant, who have been studying evolution in the Galapagos for a half-century. The portion of the dataset I used was on beak length and depth, and how they changed between 1975 and 2012. There is also some hereditary data that I will be diving into next, but this initial project was just to see if I could use Python to show the way beak shapes have changed over time.
Freecodecamp Exercises Project description:
After completing my CareerFoundry Data Analysis course, I have been working on completing the exercises provided by Freecodecamp.org for their own Data Analaysis curriculum. It has been super fun, and I am pleased to find that I am already able to do a lot of this on my own thanks to my training at CareerFoundry. I am updating my Github with the code used to complete these excercises as I move through them.
Exoplanet Analysis Project description:
As a science lover, I was interested in learning more about the universe from scientific data sets. Using Tableau, Python and Excel, I searched the NASA Exoplanet Archive for fun facts and trends about exoplanets.
Elk Hunt Project description:
I am an elk hunter, and my hunting partner and I were interested in hitting a new spot for the 2022 hunting season. I like all my decisions to be data-driven wherever possible, so I gathered all the data available to me through the state wildlife management agency and analyzed it using Python, Tableau, and Excel.
Download Elk Hunt case study here
Instacart Analysis Project description:
Using open source data from Instacart, I used Python to merge multiple datasets, categorize and flag customers based on buying habits, run statistical analyses on groups, and visualize the results.
Influenza Analysis Project description:
This project was an assignment for my CareerFoundry Data Analysis course. We used data from the CDC on influenza death rates and demographic data from the Census Bureau and merged them. The goal of the project was to provide recommendations for a fictional medical staffing company on when and where to allocate staff during the the influenza season.
Rockbuster Analysis Project description:
Another project for my CareerFoundry Data Analysis course. We were given a relational database for a movie rental company, and wrote SQL queries in PostgresSQl to clean, pull, organize, and analyze data. Data was exported as CSV files and visualized in Tableau.