Dr. Vengalarao Pachava is an academician and researcher specialising in Artificial Intelligence (AI), Machine Learning, Deep Learning, and Business Analytics, with a focus on developing data-driven solutions for complex business, economic, and societal challenges. His work emphasizes the application of advanced analytical techniques to support evidence-based decision-making, predictive intelligence, and digital transformation.
His research focuses on predictive modeling, intelligent decision systems, and AI-driven forecasting across diverse domains including finance, sustainability, agriculture, renewable energy, digital payments, and economic development. He has published extensively in national and international peer-reviewed outlets, contributing to the growing body of knowledge in AI-enabled analytics and data-driven policy research.
A key strength of his work lies in developing and implementing machine learning and deep learning models, including neural networks, time-series forecasting frameworks, ensemble methods, and hybrid AI architectures. His recent studies apply advanced analytical techniques to forecast cryptocurrency prices, CO₂ emissions, agricultural production, MSME export performance, renewable energy adoption outcomes, and digital payment demand. His research also explores AI applications in emerging areas including electric mobility, financial analytics, and sustainable development.
Dr. Pachava is currently leading and collaborating on two ICSSR-funded research projects, including a Major Research Project examining the economic benefits and adoption challenges of solar irrigation systems under the PM-KUSUM scheme.
His teaching focuses on Artificial Intelligence for Business, Machine Learning, Deep Learning, Data Science, and Business Analytics, with practical training using Python, SQL, Power BI, Tableau, and AI-based analytical platforms to develop industry-relevant analytical and visualization skills.