Vinayak Jadkar
Papers
1
Total Citations
5
H-Index
1
About
Vinayak Jadkar is an emerging researcher at the intersection of finance, automation, and artificial intelligence. His primary research areas include Robotic Process Automation (RPA), machine learning applications in financial markets, and stock price prediction modeling. Jadkar’s most cited work, “Robotic Process Automation for Stock Selection Process and Price Prediction Model using Machine Learning Techniques” (2022), addresses the growing convergence of automated trading systems and predictive analytics. This paper, garnering 5 citations, proposes a novel framework that integrates RPA with machine learning algorithms to streamline stock selection and enhance price forecasting accuracy. By tackling the dual challenges of increasing market participation and rising demand for automation jobs, Jadkar’s research offers practical solutions for both retail investors and financial institutions. His work stands out for its timely relevance, bridging the gap between operational efficiency and data-driven decision-making in volatile markets. As a rising voice in computational finance, Jadkar continues to explore how intelligent automation can democratize access to sophisticated trading tools, making his contributions particularly valuable for students and researchers interested in the future of fintech and algorithmic trading.
Research Focus
Key Achievements
Top Papers
- 1