Karl Dailey
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolKarl Dailey is an Applied Scientist in Seattle with 11 years of experience turning complex data into actionable insights across academia and industry. At Amazon he applies advanced ML and security-focused analytics after earlier roles building large-scale data pipelines, time-series and probabilistic models at Comcast and research-driven NLP at the University of Pennsylvania. He has hands-on experience with big-data ecosystems (Hadoop, Hive, Spark), H2O, and production dashboards, and has moved research into real-world products—from terabyte HIVE pipelines to automated analytics consumed via Tableau. Notably, his academic work processed billions of tweets and led to a JAMA publication linking social media signals to cardiovascular research, showing an ability to bridge novel research with practical outcomes. He also teaches and builds geospatial web tools, and has migrated services to cloud infrastructure to improve scalability and cost. Pragmatic and persistent, he combines statistical rigor with engineering chops to turn “impossible” problems into operational opportunities.
11 years of coding experience
16 years of employment as a software developer
Penn State UniversityBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at La Salle UniversityExecutive Education, Business Administration and Management, General, Executive Education, Business Administration and Management, General at Wharton Business SchoolM.S.E., Computer and Information Science, M.S.E., Computer and Information Science at University of Pennsylvania
Stackoverflow
118reputation
26kreached
5answers
9questions
Github Skills (12)
vbnet6
heroku6
ms-access6
apache-spark6
databricks6
sql6
hiveql6
scala6
graphframes6
data-science2
machine-learning2
notebook2
Programming languages (2)
Github contributions (5)
autokad/NIS
Sep 2014 - Nov 2014
Contributions:7 commits in 2 months
autokad/narf
Apr 2018 - Apr 2018
Contributions:2 pushes, 2 branches in 1 day
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