About
An academician with seven years of computer science teaching expertise. I love imparting advanced information and abilities to my students in order to better equip them for the tech sector. Area of interest are Machine learning and Deep learning
Education Qualifications
Sl.No |
Qualification Level |
University |
Area of Specialization |
Year of Compeltion |
Awards |
1 |
Post Graduation |
Mangalore University |
Computer Science |
2010 |
|
2 |
Under Graduation |
Mangalore University |
Computer Science, Maths, Physics |
2008 |
|
Responsibilities At SJEC
Coursera College Coordinator
Work Experience
Department of Computer Application, SJEC
- Assistant Professor
- since 08/01/2024
Institute of Computer Science and Information science,Srinivas University
- Assistant Professor
- 28/10/2021
- 31/12/2023
HIRA Womens College
- Assistant Professor
- 1/06/2019
- 25/10/2021
Sree Narayana College
Research Areas
- Machine Learning and Deep Learning for Customer satisfaction analysis
- Business Intelligence
- Data Mining
Journal Publications
- Priyadarshini, P., & Veeramanju, K. T. (2023). A Systematic Review on Machine Learning Algorithms for Customer Satisfaction Classification in Various Fields. International Journal of Management, Technology and Social Sciences (IJMTS), 8(3), 326-339.
- Priyadarshini, P., & Veeramanju, K. T. (2022). Business Intelligence for the Evaluation of Customer Satisfaction in E-Commerce Websites-A Case Study. International Journal of Management, Technology and Social Sciences (IJMTS), 7(2), 660-668.
- Priyadarshini, P., & Veeramanju, K. T. (2022). A Systematic Review of Cloud Storage Services-A Case Study on Amazon Web Services. International Journal of Case Studies in Business, IT and Education (IJCSBE), 6(2), 124-140.
Conference Proceedings
- Presented a Paper Titled "Machine Learning approaches for Analyzing Business Data related to Customer Satisfaction" In National Conference on Future Trends in Information Communication and Computing Technology (NCFTICCT-2023)
- Presented a Paper Titled "Analyzing Customer Satisfaction: The Revolutionary Impact of Artificial Intelligence" In "Techhorizon-2023 Advancing Frontiers in Computerscience
Workshop/FDPs Attended
- Workshop on Data Analytica and AI organized by Centre for Computerscience and Information Technology, University of Calicut
- Workshop on SPSS organized by Srinivas University Research Council
- Workshop on Quality teaching as a prerequisite for quality learning Organised by ICIS, Srinivas University (1/6/2022-6/6/2022 )
- Kapila scheme and patent commercialization by IEEE student branch Srinivas University
- Workshop on Research Methodology organized by Srinivas University