Dr. Aniruddha Ghosh

Dr. Aniruddha Ghosh is an academic in finance and analytics, with over 19 years of experience across academia and industry. He holds a PhD in Management along with qualifications in economics and finance, and is a Certified R Professional. 

His expertise lies in financial data analytics, machine learning, and risk analytics, with a strong focus on applying advanced quantitative methods to financial decision-making. His research spans bankruptcy prediction, green finance, financial risk modelling, and behavioural finance, with publications in Scopus and ABDC-indexed journals. 

Dr. Ghosh also holds patents in financial technology and IoT-based systems, reflecting his engagement with applied and innovation-led research.

Dr. Ghosh brings over 19 years of combined academic and industry experience. 

He has held academic positions at ICFAI Business School (Gurugram), and served as visiting/guest faculty at institutions including IIFT, Symbiosis, SRM University, IMS Ghaziabad, and Maldives Business School. 

His industry experience includes roles at HDFC Bank and Tapas Ghosh Transport Services Pvt. Ltd.

Financial data analytics; financial econometrics; risk analytics; machine learning in finance; corporate finance; generative AI in finance.

He emphasises analytical rigour and application-driven learning, integrating quantitative tools and real-world datasets into finance education. 

His approach focuses on developing problem-solving skills, data interpretation, and decision-making capabilities aligned with evolving financial markets.

Recipient of Best Paper Award at an international conference (Jaipuria Institute of Management, 2025).

Dr. Ghosh holds one research patent (India) and two design patents (India and UK) in financial technology and IoT-based systems, including innovations in green finance analytics and financial planning interfaces.

Corporate Finance; Financial Econometrics; Financial Risk Analytics; Security Analysis and Portfolio Management; Business Analytics; AI applications in finance.

Dr. Ghosh has published extensively in Scopus and ABDC-indexed journals, with research focusing on bankruptcy prediction, green finance linkages, financial modelling, and behavioural studies. 

His work applies advanced techniques such as survival analysis, machine learning, and econometric modelling to financial problems. 

He actively participates in academic conferences and has presented at national and international platforms. In addition, he engages in consultancy and training in financial analytics and has mentored over 500 students on research and internships.

Python; R; Stata; Power BI; Tableau; machine learning; deep learning; financial modelling; time-series analysis.