AI & Python Mentor
Role:
Mentor — AI & Python Instructor
Period:
April 2024 — August 2024
Reach:
4 batches · ~24 students
Teaching is the fastest way to find the holes in what you know. The curriculum was built from scratch: Python fundamentals, data visualization, machine learning basics, supervised learning, and Jupyter Notebook workflows, sequenced so that each session left students with something that ran.
Four batches, spanning high school students to college freshers, delivered remotely to roughly twenty-four people in total. The range meant the same idea had to be explained three different ways, and the version that worked for a fifteen-year-old usually turned out to be the clearest one.
The bar was not attendance. By the end of each batch every student could independently build and present a data visualisation project of their own — which is a harder and much more honest measure of whether the teaching landed.
A curriculum from zero
End-to-end Python and AI/ML material designed from scratch — data visualization, ML fundamentals, supervised learning, and Jupyter Notebook workflows.
Four batches, remote
Workshops organised and run for groups spanning high school to college freshers, with project completion rates improving batch over batch.
Everyone shipped
Every student finished able to build and present a data visualisation project independently — measurable improvement in applied ML, not just attendance.