Cornell Data Science (CDS) is an undergraduate project team that builds data-driven solutions to a variety of real-world problems. Current initiatives range from devising a scalable mapping system for better natural disaster response to developing a tool that can summarize Amazon reviews for a better user experience. Our team of 80+ students is a great place to meet people with diverse interests, gain experience at the intersection of theory and application, and contribute to greater community initiatives.
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Website
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https://cornelldata.science
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Employees
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72
(25 on RocketReach)
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Founded
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2014 |
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Industry
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Information Services
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Keywords
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Data Science,
Undergraduate Projects,
Data Analysis,
Real World Problems,
Machine Learning,
Scalable Systems,
Data Driven Solutions,
Natural Disaster Response,
Data Visualization,
Software Development,
Predictive Modeling,
Problem Solving,
Statistical Analysis,
Data Solutions,
Big Data,
Algorithm Development,
Data Mining,
Research And Development,
Data Engineering
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Competitors
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Harvard University,
Stanford University,
UC San Diego Health,
New York University,
Columbia University,
University of California, Berkeley,
University of Michigan,
Massachusetts Institute of Technology,
Paul G. Allen School of Computer Science & Engineering,
Purdue University
+40 more
(view full list)
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Cornell Data Science Questions