Prof. Leena Deshpande
Papers
1
Total Citations
5
H-Index
1
About
Prof. Leena Deshpande is a forward-thinking researcher at the intersection of artificial intelligence, financial technology, and automation. Her work focuses on integrating Robotic Process Automation (RPA) with machine learning to transform stock market analysis and decision-making. In her highly cited 2022 paper, “Robotic Process Automation for Stock Selection Process and Price Prediction Model using Machine Learning Techniques,” she addresses the growing demand for intelligent automation in finance, proposing a novel framework that combines RPA for data processing with ML models for price forecasting. This work, which has garnered 5 citations, reflects her ability to tackle real-world challenges at the convergence of emerging technologies. Prof. Deshpande’s contributions are particularly relevant as retail participation in financial markets surges and automation reshapes the workforce. Her research not only advances predictive analytics but also provides a scalable blueprint for automating complex financial workflows. By bridging the gap between algorithmic trading and operational efficiency, she is helping to define the next generation of smart, automated financial systems.
Research Focus
Key Achievements
Top Papers
- 1