Real Time Predictive Modeling
Jan 1, 2014·
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1 min read
Christopher Teixeira
Worked directly with a client to design data sources that allow for real time modeling and scoring. Led a team of statisticians to consolidate knowledge and design best practices in advanced modeling techniques for near real time model building.
Designed a methodology to detect and predict client behavior patterns. Results of this methodology are intended to influence real time marketing decisions to improve response rates.
Authors
Christopher Teixeira
(he/him)
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.