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

Handled data entry, validation, and operational reporting using Excel as part of a Data Analyst role during COVID-restricted operations. Maintained accurate records and supported internal reporting for operational teams.

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