
Feeling lost about how to actually start in AI and Data Science? This is a focused 1:1 call to cut through the noise and give you a clear, personalized direction.
I'm a BSAI student (Hazara University) who's learned by actually building — from ML models for personal finance and agriculture (top 7 of 2,100+ teams in a national AI competition), to deep learning research projects, to running a growing AI/ML learning community. I've been exactly where you are, and I know what actually matters vs. what's just noise.
What we can cover, based on where you are:
📍 Getting started — how to actually begin in AI/Data Science without getting overwhelmed, what to learn first, and in what order
🧮 The math behind AI — linear algebra, calculus, probability & statistics, explained in a way that's useful, not academic
🤖 Machine Learning — core concepts, algorithms, and how to actually build intuition instead of memorizing formulas
🛠️ Feature Engineering & EDA — the practical, "real projects" side of ML that most courses skip
💼 ML Interview Prep — common question patterns, how to structure your answers, and what interviewers are actually testing for
🗺️ Career direction — portfolio, projects, and what to focus on next based on your goals
This isn't a generic lecture — come with your specific questions, your background, and what you're stuck on, and we'll actually work through it together.
Perfect for: students, career-switchers, or self-learners early in their AI/ML journey who want a real conversation instead of another YouTube playlist.