B. Ebenezer Abishek

Papers

Total Citations

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About

B. Ebenezer Abishek is an emerging researcher at the intersection of financial technology and intelligent automation. His primary research focuses on Robotic Process Automation (RPA) applied to financial data analysis, particularly in stock market contexts. His most cited work, "Stock data analysis with Ulpath automation" (2021), demonstrates how RPA tools can streamline daily trading operations, reduce manual effort, and enhance profitability for financial firms. By showcasing the practical integration of software robots into stock data workflows, Abishek contributes to the growing field of algorithmic finance and process optimization. Though his citation count is currently modest, his work signals a promising direction for researchers interested in low-code automation solutions for real-world financial challenges. His research is particularly valuable for students exploring how automation can bridge the gap between raw market data and actionable trading insights. As the financial sector increasingly adopts intelligent automation, Abishek's foundational work offers a clear entry point for understanding how RPA can transform routine analytical tasks into efficient, error-free processes.