Tanuj Kulshrestha

This thesis aims at doing feature selection and trends detection in high dimensional streamed data coming in near real-time using complex event processing and visualize it. Technologies used: Apache Kafka, ESPER CEP Engine, Apache Storm, Java, Socket IO, Node.js, D3 for visualization

- Worked in building Machine learning models to predict the cost of the machine's part using linear regression, random forest regression, and other ML techniques - Performed data analytics and predictions on supplier-chain data using visualizations through Orange tool. - Gained knowledge in Machine Learning libraries like scikit-learn. - Gained knowledge in Python libraries like pandas and python Jupyter notebooks

- Worked with Python Jupyter Notebooks using Apache Spark with DB2 and Gateway for experiments. - Developed Configuration module which parses the data require for Gateway and setup it for executing queries. - Developed Command Request Handler for handling user arguments and take appropriate actions on Gateway. - Developed LDAP Authentication feature for Gateway. - Quickly getting familiar with and master a complex build and development setup including IBM mainframes and Linux servers.

Android & JAVA development for Samsung Knox. Worked as a VPN and Security certificates SME, handling all the B2B and B2C clients issues of Samsung Knox, providing debugging, analysis and resolution to them. Also involved with IMS and VoLTE development by providing support and development, Testing, Automation tool development for different carriers like ATT, Verizon and SKT.

Big Data in Medical Informatiks, Implementation of Databases, Artificial Intelligence, Computer vision

Algorithms Design and Analysis, Object Oriented programming, Theory of Computation, Soft Computing