kiran gandikota

Responsible for end-to-end Implementation of Payment Management (payment factories) and Bank Statement Processing and its integration into SAP Environment. Design and Preparation of global business Blueprint in consultation with Customer Studying AS-IS and finalizing TO-BE of new ChangeRequests (CR), subsequent timely realization, integrated testing and final delivery. Initialization, Customization and Integration of SAP plug-ins in Financial Supply Chain Management (FSCM) into SAP Environment. Coordinating with banks and clients to facilitate the implementation of Payment Management and support for the establishment of EBICS and SWIFT database connection. Core user and end user Level-1 and Level-2 trainings, Documentation and Presentations. Testing, Support Go-Live, Update.

Preparation of Slides, Lectures slides, Homework and Translation of technical notes from German to English. Synthesized and analyzed a variety of data for different student groups. Evaluated homework, tests, and field work and held office hours to ensure students understood course concepts. Development of Leader Board Website for the verification and ranking of student group assignments.

Development of a test tool I was involved in the application development of a test tools with different security features(Applied cryptography) for in-house use. My responsibilities included gathering of requirements, analysis and design, code development and maintenance and testing.

Graduated with "Master of Science" in Theoretical Computer Science focusing on theoretically substantiated fundamental concepts and methods that go above and beyond current trends. Specialized in Embedded Systems and with Software Technology and Information systems, Human Machine Interaction as minor subjects. Dissertation Title: A Comparative Evaluation of Network Partitioning in Peer-to-Peer Networks. Goal: The partition scenario in P2P networks in any large scale distributed P2P system which depends on Internet may also have to deal with network partitions. In this context they have to be evaluated for their fault tolerance, self management during partitioning and during merging process under different conditions. For example under different churn (frequent joins/failures) conditions using a simulation environment which has the capability to simulate the above mentioned scenarios in different overlay types and study their behavior through the analysis of recorded results.