Teaching Experience

Below is a reverse-chronological timeline of my teaching engagements at Ashoka University, supporting undergraduate learning in data science, quantitative methods, and the ethics of artificial intelligence.

2025 — Teaching Fellow, Data Science for Social Scientists (2000-level)

Ashoka University — Spring 2025
Supervised by: Prof. Anustubh Agnihotri (PhD, UC Berkeley)

  • Supervised students on data-driven research projects using R.
  • Introduced advanced data science methods including visualization, modelling, and reproducible workflows.
  • Taught GIS and geospatial techniques for social-science mapping and spatial interpretation.

GitHub Repository

  

📄 Student Feedback

2024 — Teaching Fellow, Quantitative Research Methods (1000-level)

Ashoka University — Monsoon 2024
Supervised by: Prof. Anustubh Agnihotri (PhD, UC Berkeley)

  • Taught R programming to Political Science students with no prior coding experience.
  • Introduced quantitative tools used in political science and public policy research.
  • Assisted with assignment design, grading, and applied data analysis sessions.

GitHub Repository

2022 — Teaching Assistant, Fairness & Ethics of AI (2000-level CS Course)

Ashoka University — Monsoon 2022
Supervised by: Prof. Abhijnan Chakraborty (IIT Delhi)

  • Mentored and supervised student research projects related to fairness, bias, accountability, and ethics in ML systems.
  • Guided students through research design, empirical analysis, and technical implementation.

For additional teaching and education-related community and social impact projects, please visit:
Social Service & Education Field Work