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Predictive Modeling of Mechanical Failures at Sea
Timeline
2020
Description
Our team used years of unanalyzed data in a cloud computing environment to conduct exploratory data analysis using natural language processing techniques, as well as visualizations, for Fleet Management Limited. Through this, and preliminary predictive modelling, we hope to help management decrease the number of preventable incidents as each one costs FML more than $10,000.
Faculty Sponsor: Paul Bendich
Project Manager: Anil Ganti
Client Lead: Shah Irani, Fleet Management Limited
Click here to view the project team's poster
Watch the team's final presentation (on Zoom) below:
Categories
Finance, Economics and Computation, Data+