Bhavana Bhasker is a Data Scientist at the Comcast Applied AI team in CSV. She has research experience in Deep neural networks and Applied Machine Learning. She is also a part time lecturer at San Jose State University. Her area of interests are Computer Vision and Natural Language processing.
Predicting and Preventing Avoidable Truck Rolls (ATR)
When call centers cannot solve issues, they roll a truck to customer dwellings. Experience shows that a significant number of these truck rolls could be avoided as the root cause of the issue might be in the network upstream of the dwelling. This presentation describes the method we created to build a solution capable of predicting these ATR with a very high accuracy. The machine learning algorithm uses both network health indicators as well as the truck operation records. This method is the first of its kind and is currently being tested for deployment.