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He graduated in 2011 from IISERs five-year dual science degree program with bachelors and masters degrees, with a concentration in mathematics. The existing algorithms were not efficient. There are eight of what he calls spokes in data science. He then earned a masters degree in operations research in 2012 from Columbia.
We also demonstrate the performance of our state-of-the-art point cloud-based product lifecycle prediction algorithm. Challenges One of the challenges we faced while using fine-grained or micro-level modeling like product-level models for sale prediction was missing sales data. We next calculated the MAPE for the actual sales values.
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