Josh Muchmore
Data analytics professional with an emphasis on data wrangling in Python. Able to work with complex data sets and provide findings through clear data visualizations. Adept at working within a full software development team, or individually as needed. Currently familiarizing myself in Machine Learning fundamentals and how to apply these concepts to a company’s success.
SongWriting
Scripts to aid Songwriting
This repo has a script (possibly more in the future) to aid in song writing. Using music theory logic it allows a user to enter a musical key and returns the scale associated, along with 14 of the most common chords in the key.
Github Repo
Movie Machine
Movie recommendation system
This group project explored machine learning recommendation techinques such as collaborative filtering and content-based recommendations. This used metadata from 45,000 movies and 26 million ratings from over 270,000 users. My contribution to the project included data cleaning, image processing from posters to generate features, and the content-based recommender which utilized a classification process.
Github Repo
Divvy Pykes
A look at Divvy bike use compared to the weather
Chicago's favorite bike share program releases tons of trip data for public use. This notebook compares the Divvy data to the weather for 2017.
Github Repo
Movie Magic
An interactive dive into movie success
This is another group project that used movie data which fouses on three factors of movie success: return on investment, awards and nominations, and viewer rating. This interaactive app displays charts on those factors to allow a user to draw their own conclusions. My contribution included javascript data wrangling and plot generation.
Github Repo Heroku Launch