Research positions where analytical work met real operational problems, alongside teaching and academic background. Each entry lists areas of work rather than quantified outcomes.
Learning through collaboration
Growth happens through exchange.
Research grows stronger where ideas, discipline, and collaboration meet.
Research Experience
Research Intern
Indian Institute of Management Calcutta
Operations Management Group
Supervisor: Prof. Ayesha Arora
Studying digital supply-chain innovation in e-commerce, with a focus on AI-powered chatbots, consumer engagement, and channel dynamics, and developing a game-theoretic model of strategic interactions and equilibrium outcomes under AI-driven service innovation.
Thesis on Hypergraph Neural Networks and Graph-based Learning for Biomedical Applications — investigating hypergraph neural networks and graph-based learning methods for modelling higher-order relationships in biomedical data.
Hypergraph neural networksGraph-based learningHigher-order relationshipsBiomedical data modelling
Research Intern
Indian Institute of Management Mumbai
Operations & Supply Chain Division
Supervisor: Prof. Vijaya Kumar Manupati
Developed a two-stage stochastic mixed-integer linear programming model for resilient multi-echelon FMCG supply-chain network design under supplier and warehouse disruptions, and designed classical and accelerated Benders decomposition approaches to solve it.
Two-stage stochastic MILPResilient multi-echelon FMCG network designFacility location, production & inventory decisionsCross-docking & lateral transshipmentClassical & Accelerated Benders DecompositionValid inequalities, optimality & feasibility cutsLazy-constraint callbacksSample Average Approximation with Latin Hypercube SamplingPython & IBM ILOG CPLEXBenchmarking against CPLEX branch-and-cut
Academic Experience
Teaching Assistant
Indian Institute of Technology Delhi
MTL2003: Optimization Methods and Applications
Supervisor: Prof. Harmender Gahlawat
Teaching assistant for MTL2003: Optimization Methods and Applications, under the course instructor Prof. Harmender Gahlawat.
Education
M.Sc. in Mathematics
Indian Institute of Technology Delhi
Department of Mathematics
2025–Present
Thesis: Hypergraph Neural Networks and Graph-based Learning for Biomedical Applications · Advised by Prof. Aparna Mehra
B.Sc. in Mathematics and Computing
Birla Institute of Technology, Mesra
2022–2025
Thesis: A Study on Gradients of Non-Differentiable Functions · Advised by Dr. Syeda Darakhshan Jabeen