Deeksha Shadakshari

Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.

Identification of leisure hubs from geo-tagged social media posts: A novel approach for identifying leisure hubs from geo-tagged social media posts is presented, it will help suggest new store opportunities for location planners working for a particular company or franchise. Clustering techniques are performed on this outcome to divide the predicted scores into appropriate groups. The outcome of this research is presented in the form of a web application that consists of plots, graphs, and maps to represent the data visually. Techniques from data visualization are used for this purpose.

 University campus online computation: This paper is based on developing a college Automation System to reduce manual paperwork using cloud computing, AES algorithm, TOMCAT, Net Beans, and with output as a web page. All the activities of the College will be managed on a single platform to reduce the concurrency. Certain activities such as placement, student information, and availability of books in the library will be considered at a single platform managed by faculty, administrator, and librarian.

 Indian agriculture crop production using PowerBI: The visualization shows the production by year and area by state using pie charts and bar graphs.