Dr. Nilesh Kumar

Dr. Nilesh Kumar is a scholar in decision sciences with expertise in statistics, experimental design, and data-driven modelling. He holds a PhD in Statistics from the University of Delhi, specialising in Design of Experiments, and has research exposure from the Indian Statistical Institute, Kolkata. 

He has also served as a Research Professor at Pukyong National University, South Korea, working on a government-funded project. His research integrates statistical modelling with machine learning and reinforcement learning, with a focus on solving complex problems in business and economics.

Dr. Nilesh has taught at institutions including Sri Venkateswara College (University of Delhi) and the Faculty of Management Studies, Marwadi University. During his PhD, he worked as a DST-INSPIRE Fellow, teaching postgraduate students alongside research. 

He also served as a Research Professor in South Korea before joining UPES.

Design of experiments; statistical modelling; h-likelihood methods; machine learning; decision science.

His teaching approach emphasises statistical thinking for decision-making, combining theory with hands-on application. He uses real-world datasets, computational tools, and case-based learning to build practical understanding. 

He encourages inquiry-driven learning and aims to develop data-literate, analytically strong professionals.

Statistics for Business; Statistics for Economics; Statistics for Data Science; Actuarial Statistics; Operations Research; Statistical Methods; Advanced Data Analysis (R); SPSS; Statistical Computing.

Recipient of the DST-INSPIRE Fellowship for doctoral research. Gold Medallist during master’s studies. Awarded UGC fellowships, institutional scholarships, and a research stipend from the Indian Statistical Institute, Kolkata.

Dr. Nilesh has published research in statistics and decision science and presented at national and international conferences. His work spans topics such as space-filling designs, stochastic modelling, and bandit models. 

He actively contributes to academic development through curriculum design, invited talks, and scholarly reviewing, with a focus on advancing data science and statistical applications in business contexts.

Navneet.rajoria1@ddn.upes.ac.in