Pritesh Bhutada
Papers
1
Total Citations
5
H-Index
1
About
Pritesh Bhutada 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. His most cited work, "Robotic Process Automation for Stock Selection Process and Price Prediction Model using Machine Learning Techniques" (2022), tackles the growing demand for intelligent automation in finance. By integrating RPA with predictive algorithms, Bhutada addresses the challenge of stock price forecasting—a notoriously difficult problem due to market volatility. His research demonstrates how automated systems can streamline stock selection, offering a data-driven approach to reduce human bias and improve decision-making efficiency. With 5 citations, this paper reflects early but meaningful impact in a rapidly evolving field. Bhutada’s work is particularly relevant as retail and institutional investors alike seek scalable tools to navigate increasingly complex markets. His contributions highlight a promising direction for combining process automation with predictive modeling, making him a researcher to watch in the emerging domain of AI-driven financial analytics.
Research Focus
Key Achievements
Top Papers
- 1