Samuel Blazek is an experienced researcher at the intersection of technology, strategy, and information systems, with a decade of experience applying experimental and survey methodologies to social science questions. He specializes in psycholinguistics, network-based behavioral modeling and prediction, and machine learning approaches that scale statistical computation. Based in Washington, D.C., he bridges rigorous academic methods with practical computational tooling to derive actionable insights from complex social data. Fluent in French and Mandarin Chinese, he brings cross-cultural perspective to international research collaborations. Unusually for someone grounded in methodology, he combines deep interest in human language and networks with hands-on statistical computing to push reproducible, large-scale social science analyses.
This Scrapy project uses Redis and Kafka to create a distributed on demand scraping cluster.
Contributions:1 commit, 1 PR, 1 push in 1 day
pythonredisscrapyon-demanddemand
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