FCSAmerica Lead Generation

Authors

Jared Fuelberth, University of Nebraska-LincolnFollow
Brendan Owens, University of Nebraska-LincolnFollow
Sam Futterman, University of Nebraska-LincolnFollow
Mohamed Aly, University of Nebraska-LincolnFollow
Jacob Sullivan, University of Nebraska-LincolnFollow

Date of this Version

5-2020

Document Type

Thesis

Citation

Aly, M., Fuelberth, J., Futterman, S., Owens, B., Sullivan, J. 2020. FCSAmerica Lead Generation. Undergraduate Honors Thesis. University of Nebraska-Lincoln.

Comments

Copyright Mohamed Aly, Jared Fuelberth, Sam Futterman, Brendan Owens, and Jacob Sullivan 2020.

Abstract

This project has involved using data science and machine learning to help prioritize leads for FCSAmerica. Lead prioritization is done via a ranked list created from a model based on real, publicly available data. The model development process involved numerous steps including data cleaning, feature creation, model building, and validation. Various tools were used during this project including R, Python, and SQL. The ranked list outcome of this project, along with the modeling documentation, will be very beneficial for FCSAmerica. It will improve their sales and give them a head start on their own internal data science projects.