MLB Player Similarity
Jun 1, 2013·
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1 min read
Christopher Teixeira
Using a combination of dynamic programming and social network analysis, I compare a player’s career stats against other players to figure out who are the most similar. After determining which players are similar, I use various social network analysis techniques to be able to cluster and categorize players.
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.