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Nipun Bhanot
Nipun Bhanot

Nipun Bhanot

Senior Scientist
Infor
Bio

Nipun Bhanot is a Senior Scientist at Infor, where he leads the end-to-end
development of machine learning and operations research solutions. These
solutions help customers address complex industrial challenges. He has
spearheaded projects across asset management, product matching, forecasting,
scheduling optimization, pricing, quoting, and yield optimization, driving
efficiency and enabling data-driven decision-making across various industries.
Nipun holds a Master’s degree in Electrical Engineering from the University of
Pennsylvania and a B.Tech. from Manipal Institute of Technology, India. Before
joining Infor, he conducted research in applied machine learning at McGill
University, as well as in neuroscience and healthcare applications at NIMHANS.
With a strong foundation in data science and optimization, he is committed to
developing and implementing innovative solutions that enhance business
operations and strategic planning.


Optimizing Tire Management for Global Mining Operations

This presentation focuses on improving tire management for mining trucks
operating across over 500 sites worldwide. A survival analysis-based gradient
boosting model is used to accurately predict the next tire fitments for both new and
spare tires. These predictions are then used to drive a multi-objective optimization
model that schedules work orders efficiently. The optimization aims to minimize
downtime, manage tire inventory, and maximize overall efficiency. By combining
predictive analytics with prescriptive decision-making, this project provides a
practical solution to a complex problem, helping streamline tire maintenance in the
global mining industry.