Jeshwanth Pilla

Working in the Center of Excellence team of the Data Analytics department supporting Group Audit.

- Support in enhancing the current dashboards and applications of the Compliance Processes and Tools department. - Contribute to the development of ideas for the implementation of machine learning and data analysis in their applications.

Title: Anomaly Detection in Additive Manufacturing using Deep Learning - Developed a novel patch-based deep regression framework to detect recoating anomalies occurring in the Powder Bed Monitoring in Additive Manufacturing process of Siemens Gas Turbines. - Employed transfer learning by extending multiple state-of-the-art Convolution Neural Network architectures using Keras and Tensorflow in a Dockerized environment.

- Enhance and maintain the dashboard web application visualizing the budget and expenditure of Entwicklung Design department. - Develop different interactive charts and functionalities using Highcharts javascript library and Play framework with Java. - Configured Google Analytics and helped team in gaining deeper understanding of their application users.

- Performed proof of concept for client's challenges in software quality assurance with the help of inhouse analytical and machine learning based tools. - Involved in design and development of in-house web solutions and accelerators streamlining end-to-end test data management with technologies like Javascript, AngularJS, Jquery, Jersey REST framework.