My AcademicTutor
← Back to homepage

About My Academic Tutor

A clearer way to learn quantitative subjects.

My Academic Tutor is a learning platform and academic-support network for statistics, biostatistics, mathematics, health data science and research methods. The platform combines structured learning resources, study guides, interactive demos and responsible academic support.

Academic network

Our academic-support network includes tutors and mentors with backgrounds from institutions including Indian Institute of Technology Kanpur, Indian Institute of Technology Bombay, Delhi Technological University, University of Delhi and University of Bristol.

Academic direction

Led academically by Rahul.

Rahul supports the academic direction of My Academic Tutor, including curriculum planning, learning-resource development and quality standards.

MSc Medical Statistics and Health Data Science

University of Bristol, UK — current

MSc Statistics

Indian Institute of Technology Kanpur, India

What the platform covers

Support across quantitative learning.

My Academic Tutor focuses on clear explanations, structured resources and responsible academic guidance across core quantitative subjects.

StatisticsBiostatisticsMathematicsHealth data scienceResearch methodsRegressionProbabilityData interpretation

Tutor network

Built around a focused academic network.

Enquiries are reviewed and directed to the most suitable available tutor, resource or learning pathway. Availability depends on subject area, tutor capacity and academic-integrity suitability.

Indian Institute of Technology Kanpur
Indian Institute of Technology Bombay
Delhi Technological University
University of Delhi
University of Bristol

Understanding first

Support is designed to help students understand concepts, methods and reasoning rather than memorise isolated procedures.

Responsible academic support

The platform does not support ghostwriting, exam impersonation or dishonest completion of assessed work.

Structured learning

Resources, courses and explanations are organised around clear learning pathways, from foundations to applied quantitative work.

Next step

Explore the learning platform.

Start with free resources, interactive demos or structured course pathways.