Asha Yadav

Asha Yadav is a researcher and educator in the area of Business Analytics, Operational Research and Predictive Modeling, with expertise spanning statistical decision-making, multi-criteria decision-making (MCDM) and optimization techniques. She is proficient in SPSS, Excel, Power BI, Tableau, Python and Mathematica, and brings a strong quantitative foundation to management education.

Asha has taught across multiple management programs at Delhi Technological University (DTU), where she delivered Predictive Modeling, Business Mathematics and Data Analysis Techniques. Prior to her teaching engagements, she gained field research experience as an intern with the Ministry of Statistics and Programme Implementation (MOSPI), Government of India and completed an industry project with J.P. Enterprises, Jaipur, on inventory optimization for spare parts procurement.

Asha has contributed to academic service as a reviewer for the International Journal of Mathematical, Engineering and Management Sciences (IJMEMS) and as a book reviewer for a Springer-published volume on reliability modeling. She has also served as a Block Tutor at the Rajiv Gandhi Hostel for Girls, University of Delhi, and as part of the organizing team for an international conference in Serbia.

Her research has been published in journals indexed in SCIE and Scopus, including Wiley's Quality and Reliability Engineering International, alongside book chapters with Elsevier, Springer and De Gruyter Brill. Her current research interests center on software reliability and vulnerability discovery modeling, with applications of predictive analytics and MCDM techniques.