2019 TUN Data Challenge

Brief overview of the TUN Data Challenge I conducted with a team as part of SNHU experiential learning course. We work with client, marketing, and interaction data from non-profit, Hire Heroes USA to answer business problems specified by the organization. Our process involved: Defining goals, cleaning data, exploratory data analysis, statistical analysis, data visualization, and communicating results. Final results from the contest are still pending, expected in late July.

more ...

Identifying Advertisements with ANN's

I pull data from the UCI Machine Learning Repo and use it to train a model which can identify advertisements based upon their image size and URL terminology. I work through cleaning the data, attempting a few different fitting algorithms, and end with some parameter-tuning of an ANN. My final model results in over 97% accuracy in classifying advertisements in testing. Originally conducted for a Machine Learning course as SHHU focused on the R language.

more ...

Nightingale Rose in R

Summary: I recently tracked my daily coffee consumption and thought it would be interesting to find a fun way to visual it. After some exploration of options in R, I decided to give a Nightingale Rose Diagram a try.


Foreign Trade Flows (Chord Diagram)

In honor of the looming trade war, here's a diagram I made which displays how much money changed hands in trade between the US, EU, Canada, and Mexico in 2016. While it may look like a relatively small portion of the aggregate total trade, thats still a lot of money.

more ...

Time Series Analysis in R

Lately I've been looking to explore time-series modeling and to get more practice with manipulating data in R. Luckily, a dataset on Kaggle provided me the opportunity to do both of these things. Attempting to predict future sale volume of items in stores (from 1-C russian store sales dataset) gave me the chance to apply the theoretical knowledge I've been studying of time-series analysis (ARIMA in particual). Additionally, I was able to get more comfortable with dplyr and lubridate in the process. more ...

Nigerian Airline Frequency Analysis

A summary report of work I did for a Data Analytics II course at SNHU. Fictional company, Austin Air, is looking to enter the international airline industry with a goal of capturing a significant market share of business focused around Nigeria. Analysis will provide a look at the current industry and suggest strategies towards implementing a pilot program for the company to introduce to the market and achieve their goal.

more ...