Ramya Garikipati

Ambitious Java developer with experience in working with little to no supervision and according to set protocols. Adept at analyzing requirements, designing solutions, and developing, testing, and maintaining application software for large-scale enterprise systems. Delivering technical proficiency in application analysis, design, and programming analysis. Proficient in programming tools and languages and an outstanding team player. Driven Assistant Systems Engineer with knack for problem-solving and innovative thinking. Proficient in system analysis and troubleshooting, combined with strong communication skills. Ready to contribute to optimizing system performance and enhancing operational efficiency.

• TECHNOZION, 09/01/18, Workshop on IOT Conducted by Wingfotech
• INTERNSHIP, 05/01/19, 06/01/19, Internship on IOT programming
• Attended International Workshops with the Professors to know the research thesis.

Text Data Document Clustering:

 Clustering is the method of organizing objects into groups whose members are related in some way. A cluster is therefore a collection of objects which are coherent internally, but clearly dissimilar to the objects belonging to other clusters. Document clustering, one of the traditional data mining techniques, is an unsupervised learning paradigm where clustering methods try to identify inherent groupings of the text documents, so that a set of clusters is produced. We tested on 21578 (Reuters) documents.

Drawing: This helps me to be  calm and relax in the moment.