Bharath Kumar

Project: Predictive Maintenance for Industrial/Internet of Things (IoT) Devices • Created a predictive model that can predict Remaining Use Full (RUL) for the devices. • Developed RNN LSTM Regression model in Tensorflow using NASA’s Air Engine Data set. • Achieved MAE of 7 and RMSE of 10.

Project: Intrusion Detection System • Created classification model for classifying a Intrusion Detection System (IDS). • Developed RNN LSTM model in Tensorflow using KDD Cup 1999 Data set. • Achieved 95% accuracy. Project: Document Image Classification • Created classification model for classifying Image documents. • Developed CNN model as well as used transfer learning ResNet. • Achieved 98% accuracy.

Project: BizCloud HC Openstack Web • Created web application where user can give input to different openstack components and it will be used by the admin to create openstack environment. • Gathered Requirements and created design document as per the requirements. • Developed the application using Python and its related frameworks. Project: Network Engineering • Created backend scripts for to monitor the Cisco IOS router performance by getting it statics data and publishing into database.

Diploma in Electronics and Communications