Dynamic assistant professor with expertise in curriculum development and classroom instruction. Proven ability to create engaging learning environments and mentor students effectively. Committed to academic excellence and conducting impactful research. Focused on advancing knowledge and enhancing student success.
Review on Class Association Rules, International Journal of Technical Innovation in Modern Engineering & Science, 2455-2585, UGC Approved
B.E Project, Proposed an innovative hardware based application to fetch the faculty's class number by students. This system allows the user to fetch the class number without any efforts.
M.Tech Dissertation, Proposed an algorithm in data mining based on the BA algorithm. Proposed algorithm generates rules and classifies them in clusters and calculates weighted sum and HM values. Each rule generates the prune rules for prediction. This algorithm gives better accuracy in comparison to BA algorithms. Python language is used for this dissertation.