Aniket Shahane
Papers
1
Total Citations
14
H-Index
1
About
Aniket Shahane is a researcher at the forefront of integrating artificial intelligence with industrial workforce management. His primary research areas include machine learning, robotic process automation (RPA), and intelligent systems for contractual labor administration. Shahane’s most influential work, "Contractual Employee Management System Using Machine Learning and Robotic Process Automation" (2019), has garnered 14 citations and represents a significant contribution to automating compliance and workforce tracking in complex industrial environments. This system streamlines the management of contractors, sub-contractors, and their employees by digitizing critical processes such as work permit registration and verification. By combining ML algorithms for pattern recognition with RPA for repetitive data handling, Shahane’s framework reduces manual errors and enhances operational efficiency. His research addresses a pressing real-world challenge—ensuring regulatory compliance while managing large, transient workforces. Through this work, Shahane has demonstrated how emerging technologies can transform traditional administrative tasks into intelligent, automated workflows, offering scalable solutions for industries reliant on contractual labor.
Research Focus
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Top Papers
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