CV

PhD in Statistics

• Grade (8.78 out of 10).
• Coursework.
  • Probability Theory (Core).
  • Statistical Inference (Core).
  • Advanced Calculus (Core).
  • Asymptotic Statistics (Elective).
  • Robust Statistical Methods (Elective).
  • Probabilistic Machine Learning (Elective).
  • Spatial Statistics (Elective).
  • Markov chain Monte Carlo (Elective).

MSc in Statistics

• Grade 72.5%.

BSc in Statistics

• Grade 72.4%.

Lab Instructor and Grader

• MTH-422 (Introduction to Bayesian Analysis).
• MTH-441 (Linear Regression and ANOVA).
• MTH-442 (Time Series Analysis).

Grader

• MTH-209 (Data Science lab-2).
• MTH-208 (Data Science lab-1).
• MSO-201 (Probability and Statistics).

Statistical Trainee

Associate Fellow

• Statistical Modeller for efficient survey design.

Detection Algorithm for Anisotropic Stochastic Wave Background.

• An astrostatistics project to detect sparse signals in the Gravitational Wave Background in the presence of heterogeneous noise.

• Junior Travel Award, sponsored by ISBA in BayesComp-2025, Singapore.

• Best Paper Award (2nd), International Conference on Recent Advancements in the Techniques of the Bayesian Paradigm, Banaras Hindu University.

• Best Poster Award – National Seminar on Sample Survey, jointly organized by Calcutta Statistical Association and the Department of Statistics, University of Calcutta.

• DST-INSPIRE Scholar (based on top 1% percentiles in board exams in high school), sponsored by the Department of Science and Technology, Government of India.

• Invited Attendee at BIRS Workshop on Uncertainty quantification of large Bayesian models, CMI, Chennai, India.

• Student Paper Competition on International Conference on Recent Advancements in the Techniques of the Bayesian Paradigm, Banaras Hindu University.

• Contributed talk at IISA-2024, Kochi, India, organized by the International Indian Statistical Association.

• Poster presentation at IISA-2022, IISc Bangalore, India, organized by the International Indian Statistical Association.