The goal of the project is to utilize data analytics skills to solve real-world business problems using Humana’s big data.

• More details about the competition can be found in the slide deck provided by Humana: http://mays.tamu.edu/humana-tamu-analytics/wp-content/uploads/sites/113/2021/09/Humana_Mays_Case_Competition_Kickoff_FINAL.pdf
• The competition official website: https://mays.tamu.edu/humana-tamu-analytics/2020-kickoff-call-information/
• Competition Objectives
  • Identify members most likely to be hesitant to the COVID vaccine
  • Provide recommendation & potential solutions to drive vaccination among the sub-segments of hesitant members based on the insights derived from the data
  • Ensure analysis and recommendations demonstrate fairness and equity through mitigation of potential bias inherent in the data
• Dataset:
  • A training dataset of 974,842 rows and 368 columns