Aetna

Nov 1, 2010·
Christopher Teixeira
Christopher Teixeira
· 1 min read
project Statistics

Worked with a team to determine the best use of IBM’s analytical skills to help Aetna improve their business. Modified a SAS multiplicative regression model to be more flexible with data and improve efficiency. Determine the important factors in improving care management efficiency for existing programs at Aetna.

Christopher Teixeira
Authors
Data Scientist
Christopher Teixeira is a Data Scientist with extensive experience applying statistics, applied probability, and operations research to solve complex organizational challenges. Throughout his career, he has partnered with diverse stakeholders to drive data-informed decision-making, helping organizations navigate the nuances of various analytical techniques to find optimal solutions. Christopher has a proven track record of delivering code in multiple languages, leading large-scale technical efforts, and responding to technical proposals and developing relationships with customers. He holds an M.S. in Operations Research from George Mason University and a B.S. in Mathematics from Worcester Polytechnic Institute.