Gaurav Sharma

• Adaptive and incremental learning for a recommendation system to support operators in their decision making. • Definition and structuring of requirements of an incrementally adaptive learning approach for the error diagnosis in the end-of-line testing of engine assembly with the use of methods from supervised machine learning.

Defining and implementing a text classification for increasing the data quality. Methodological further development of the analysis components in conjunction with a defined framework for increasing the predictability of a classification problem. Examination of different data mining methods with respect to the implementation of an incrementally adaptive system. Continuous improvement of the software architecture and bug-fixing of prototypical data mining applications.

Life Science R&D Application Development and Maintenance team - development and maintenance for Life science applications - Jobs and task automation - Production deployment of critical applications - IDBS E-workbook: data management across the biologic R&D life cycle​ - Domain knowledge: medical science , drug development life cycle Software Skills: JAVA Framework, Spring , Sturts 1.X , Documentum, Jenkins, SVM repository management, Eclipse

- Machine Learning - Bayesian Networks - Data Mining - Advance Topics in Data Mining - Information Retrieval - Advance Topics in Databases - Big Data & storage processing - Transaction Processing - Distributed Database Management - Frequent Pattern Mining

- Data Mining, Object Oriented Programming, Data Structures, Software Engineering, ASP .net Framework​, Web Engineering Bachelor Thesis - Vehicle Tracking System using Passive RFID