Vedant Gampawar
Papers
1
Total Citations
5
H-Index
1
About
Vedant Gampawar is a researcher at the intersection of financial technology and artificial intelligence, with a primary focus on applying machine learning and robotic process automation (RPA) to stock market analysis and price prediction. His most cited work, “Robotic Process Automation for Stock Selection Process and Price Prediction Model using Machine Learning Techniques” (2022), has accumulated 5 citations and addresses the growing convergence of automated trading systems and data-driven financial decision-making. Gampawar’s research tackles the practical challenge of integrating RPA with predictive algorithms to streamline stock selection, offering a framework that responds to the surge in retail market participation and the rising demand for automation in finance. By combining these domains, his work provides a scalable approach to improving prediction accuracy while reducing manual intervention. This contribution is particularly relevant as financial markets increasingly rely on AI-driven tools. Gampawar’s research demonstrates a clear understanding of emerging industry needs, positioning him as a forward-thinking voice in the application of machine learning to real-world financial systems.
Research Focus
Key Achievements
Top Papers
- 1