Ph.D. researcher in data science, working at the intersection of statistical theory and machine learning.
IISER Pune · Advisor: Dr. Bedartha Goswami
Building reliable confidence and prediction intervals for ML models, with a focus on distribution-free guarantees.
Applying conformal prediction to calibrate models and generate statistically valid prediction sets without distributional assumptions.
Developing reliable prediction intervals for extreme weather events using machine-learning methods.
ODE/PDE systems, dynamical systems, and graph-theoretic approaches to modeling complex phenomena.
Interactive demographic dashboard built with Pandas, NumPy, and Streamlit — enabling exploratory analysis of demographic indicators through dynamic visualizations.
Developed and analyzed nonlinear ODE models using phase plane analysis, Jacobian linearization, eigenvalue analysis, and numerical simulations to investigate stability and asymptotic behavior.
Constructed bipartite social networks and performed graph-theoretic analyses using bipartite projections, degree centrality, and connected component analysis to infer implicit social structures.
Open to research collaborations, academic discussions, and opportunities in data science and ML.