After over 35 years of working in a multitude of industries including Retail, Construction, Manufacturing, Service and Education; I have opted to take the knowledge of all of that experience and apply it into the field of Data Analytics. I have always had a desire to harvest the information that was present in day to day work scenarios and reflect upon the value of the processes that make productivity possible. Now I have decided to take my affinity for technology and data and apply it to the interest I have fostered into understanding how "Work" works in order to bring more value and enjoyment to whatever field I find myself and others working in.
In this project I was tasked to determine how users of a fictitious ride-sharing company, using real-world data; utilize the service and make recommendations on how to transform existing customers into more profitable members.
This project processes 23andMe Aggregate Relative Data using R to search for distant relatives using the chromosome segments of nearer relatives and using ggplot2 to visualize those connections. Due to the sensitive nature of genetic information no demonstration data is shown with this project profile.
In this project I compiled, wrangled, and cleaned historic data from the USGS related to significant volcanic activity going back 6000 years and looked for correlations between changes in climate and global temperatures.
In this project comparisons and correlations are drawn between the Bureau of Land Managemnent's Wild Horse and Burro Program and Livestock Grazing Allotment Systems. These observations include Area by State as well as sustainability numbers for the Wild Horse and Burro Program, as well as comparisions to specific properties and how they are managed as mixed use.
Using R and Plotly to Visualize Sasquatch Sighting occurances by state from the 1800s to present.
Check back soon to see what I have been up to.