BowlOfBaifan/NUS-Datathon-2026-DataX-Finalist-

Submission for NUS Datathon 2026. This project analyzes GradSingapore survey data to optimize survey structure, understand partial response behavior, segment respondents, and identify key drivers of employer attractiveness. Includes data cleaning, EDA, and insight generation using Python.

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No License No Package No Dependents
Maintenance 13 / 25
Adoption 1 / 25
Maturity 1 / 25
Community 12 / 25

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data-science-competition-wins

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Mar 25, 2026

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Data Science Competition Wins · 43 frameworks

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