With over a decade of experience in data analysis, I have had the privilege of working with numerous political campaigns and consultancy groups, providing valuable insights and data focused tools. My background includes extensive work in analyzing demographic, socioeconomic, and housing data, as well as studying election data and turnout information. What sets Overflow Data’s services apart is the development of advanced data tools that are easy to use and provide users with the data they need to make informed decisions. We plan to continue building out our product line to better provide information on the population, voters, voter turnout, and other important characteristics. In past engagements, I have conducted detailed analyses of election results, tracked early vote returns, and provided invaluable insights into the impact of redistricting on political jurisdictions. My goal is to empower your organization with actionable data-driven strategies that maximize your impact and effectiveness. I would be delighted to discuss how my services can support and enhance your organization's capabilities to meet your goals. Whether you're interested in optimizing your outreach strategies, refining your messaging, or gaining a deeper understanding of your client base, I am here to help. Please feel free to reach out to me at overflowdatasolutions@gmail.com to schedule a conversation or request more information. I am eager to learn more about your objectives and explore how we can collaborate for success.
25 Youngest Counties 25 Oldest Counties Source The data for this visualization comes from the American Community Survey which is conducted by the US Census Bureau. The five year estimates from 2010-2014 were used. The…
I was having trouble finding an excel file with data on the 2016 Iowa Caucuses so here is some data I put together. I used the CNN election results to make it. The results should…
Many campaigns and pollsters rely on data sets focused on individuals, but this isn’t a luxury available to all individuals interested in campaign data. In this post, I attempt to use county level demographic data, to attempt to model and build profiles on the candidates that received the most votes in the 2016 Republican Iowa Caucus.