Samuel Blazek

Washington, District of Columbia, United States
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Summary

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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.
code10 years of coding experience
bookDartmouth College
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Stackoverflow

Stats
51reputation
7kreached
0answers
1question
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Github Skills (21)

scrapy8
merge6
pypdf6
pdf6
python6
twitter-feed6
redis6
kafka5
feed4
on-demand4
twitter3
twitter-api3
bag-of-words2
bag2
sentence-embeddings1

Programming languages (2)

CPython

Github contributions (4)

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istresearch/traptor

Jun 2018 - Jun 2018

Traptor -- A distributed Twitter feed
Contributions:1 commit, 1 PR, 1 push in 1 day
twitter-apifeedtwittertwitter-feeddistributed
istresearch/scrapy-cluster

Aug 2015 - Aug 2015

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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