Dr. Akhil Vaman Shetty

Dr. Akhil Vaman Shetty is a finance academic and practitioner with over 13 years of combined academic and industry experience, including approximately 10 years in academia and 3.5 years in industry. His expertise spans Corporate Finance, Financial Markets, ESG and Sustainable Finance, Artificial Intelligence and Machine Learning in Finance, Investment and Portfolio Management, Fixed Income, and Financial Analytics. Prior to his academic career, Dr. Shetty worked as a Financial Analyst in the Global Investment Banking division at Bank of America, where he was involved in company and industry research, financial statement analysis, comparable company valuation, DCF analysis, M&A analysis, and preparation of investment banking materials. He also brings technological expertise from his experience at HSBC and CitiusTech, giving him an interdisciplinary understanding of finance and technology. His research includes Mergers & Acquisitions, FinTech adoption, and Financial Performance, with current research and working papers focusing on Artificial Intelligence and Machine Learning applications in credit risk assessment, mutual fund management, firm performance, and NLP-based investor sentiment analysis. Dr. Shetty has also undertaken industry consulting assignments, including developing a Fixed Income Yield and Pricing Calculator using Python for SMEST Capital and designing a Portfolio Performance and Attribution Framework for Finalyca. He has additionally developed Python-based applications for cost-of-equity estimation and financial news sentiment analysis.