Predictive Modeling of Mechanical Failures at Sea

Predictive Modeling of Mechanical Failures at Sea


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:



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