Rahul Vishwkarma

Tutoring 10–30 Master's students per course across three modules: Statistical Theory (Probability & Decision Theory), High-Dimensional Time Series Analysis, and Advanced Statistical Learning. Weekly sessions cover VAR models, Gaussian processes, GLMs, penalized regression, ensemble methods, and asymptotic theory. Grading 20+ assignments weekly (500+ to date). Running exam preparation sessions and supervising written exams. Concurrently writing MSc thesis on Bayesian inference methods under Prof. Paul Bürkne

Managed daily operations of a digital services business independently, customer coordination, billing, transaction logging, and record-keeping using spreadsheets and office tools. Supported customers with online government portals, exam registrations, and digital documentation processes.

Thesis: Bayesian inference methods for morphological parameter estimation, supervised by Prof. Paul Bürkner Relevant coursework: Applied Bayesian Data Analysis, Simulation-based Inference, Advanced Statistical Learning, Statistical Theory, Time Series Analysis, Asymptotic Theory

Thesis: Forecasting sugarcane production in India using Box-Jenkins ARIMA modeling