Predictive Analytics in Child Welfare
Aug 1, 2016·
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1 min read
Christopher Teixeira
Lead a small team that interviewed several child welfare agencies to understand their progress in utilizing predictive analytics. This environmental scan resulted in two publicly released documents hosted on the Department of Health and Human Services Assistant Secretary for Planning and Evaluation website.
Separately, I led a small team that brought together six government agencies to analyze data around children in foster care to understand how their experiences impact their ability to lead health and independent lives. This involved working directly with a state to obtain and analyze their data using predictive analytics.
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.