Todd Hendricks is a data scientist with nine years of experience applying Bayesian inference, machine learning, graph analytics, and visualization to protect and empower minority voters. He supports litigation and policy work grounded in the Voting Rights Act and Thornburg v. Gingles, having contributed quantitative analyses for civil rights interventions across multiple Southern states. At the NAACP Legal Defense and Educational Fund and prior roles with MGGG and other organizations, he translates complex statistical methods into defensible, courtroom-ready evidence. Todd combines deep technical rigor with domain-specific expertise in redistricting and voting rights—skills that go beyond typical data science work into legal-impact analytics. Based in Oakland, he balances continual learning and hands-on coding with family life, often pairing technical experimentation with a focus on measurable civic outcomes.
collection of exercises, experiments, and side projects written in python code.
Contributions:208 pushes, 1 branch in 1 year 3 months
python-codepythonpython3side-projects
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