1st lesson free
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Nikhil
- Rate $10
- Response 1h
$10/hr
Contact
1st lesson free
- Computer programming
- Python
- CSS
- SQL
- Artificial Intelligence
Final-Year CS Student Teaching Python, Machine Learning, Data Science & Math Online — Projects-First, Beginner to Advanced
- Computer programming
- Python
- CSS
- SQL
- Artificial Intelligence
Lesson location
About Nikhil
Hi, I'm Nikhil — Let Me Help You Actually Understand This Stuff
Learning something new is exciting. But it can also feel overwhelming, especially when explanations are too fast, too jargon-heavy, or just clearly written for someone who already knows the answer.
I've been that confused student. Not too long ago.
That's exactly why I teach the way I do — patient, practical, and always starting from where you are, not where a textbook assumes you should be.
Why You Can Trust Me
I'm not just someone who read about Machine Learning in a course and decided to teach it. I am a final-year Computer Science student with a CGPA of 8.18, and more importantly, someone who has spent the last few years building real systems — forecasting models, deployed APIs, data pipelines, and AI-powered tools that work in production environments.
When I sit down with a student, I'm not reciting slides. I'm sharing the same knowledge I used to build those projects, explained in the clearest way I know how.
What I've Actually Built
The best way to understand what I bring to a session is to see what I've worked on:
NYC Taxi Demand Forecasting — a PySpark-based ETL pipeline combined with an XGBoost forecasting model, SHAP explainability, a FastAPI inference layer, and a Plotly Dash dashboard. Built end-to-end, production-structured.
Customer Churn Prediction Pipeline — ML model training, REST API with FastAPI, Docker deployment, and SHAP-based explainability reporting with SQLite audit logging.
News Article Topic Classifier — a text classification API using both classical ML (scikit-learn) and a fine-tuned DistilBERT model, served via FastAPI with a Streamlit frontend.
What You Can Expect From Every Session
A structured, focused lesson tailored to your goals — whether that's cracking an exam, landing a job, or finally understanding something that's confused you for months
Clear, honest communication — if something needs more time, we take more time. No rushing, no skipping the hard parts
A judgment-free space — there are no stupid questions here, only concepts we haven't covered yet
Consistency and reliability — I show up prepared, on time, and genuinely invested in your progress
My Promise to You
By the end of our sessions together, you won't just have notes you copied down. You'll have a real understanding you can use — in an exam, in an interview, or in a project of your own.
That's the only outcome I'm working toward.
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About the lesson
- All Levels
- English
All languages in which the lesson is available :
English
About My Teaching Approach
I believe the fastest way to truly understand something is to build with it. My entire teaching philosophy is built around one idea: concepts stick when they're attached to something real. So whether we're learning Python loops or understanding gradient descent, you'll always leave the session with something tangible — a working script, a mini-project, or a solved problem you can be proud of.
Teaching Techniques & Methods
Analogy-first explanations — I break down every complex concept using everyday comparisons before touching code or formulas. If you don't have the mental model, the syntax means nothing.
Project-based learning — lessons are structured around building real things, not copying from slides.
Socratic check-ins — I regularly pause to ask "does this make sense?" and adapt on the spot. No student gets left behind quietly.
Interview-aware teaching — for college students and professionals, I weave in how topics are tested in placements and technical rounds, so you're learning and preparing simultaneously.
Typical Class Structure
Warm-up (5–10 min) — quick recap of the previous session, address any doubts that came up during self-study
Concept Introduction (15–20 min) — new topic explained with analogies and visuals before any code is written
Live Coding / Problem Solving (20–25 min) — we work through examples together, and I gradually hand over the wheel to you
Mini Challenge (10 min) — you attempt a small task independently while I observe and guide only when needed
Wrap-up (5 min) — summary of what was covered, what to practice, and a preview of next session
What Makes My Classes Different
I'm a student too — as a final-year CS student actively working on real ML projects, I know exactly where beginners get stuck because I've been there recently. I won't give you a textbook answer when a plain-English one works better.
No jargon until you're ready — I build vocabulary gradually. You'll understand why something works before you're asked to memorize what it's called.
Flexible depth — some students want exam prep, others want career-level mastery. I adapt the depth and pace to your actual goal, not a fixed syllabus.
Honest feedback — I'll tell you what you're doing well and where you genuinely need more practice. Growth over comfort.
Who My Classes Are For
School students — building a strong foundation in math, logic, and introductory programming
College students — deepening Python and ML knowledge, preparing for placements and technical interviews
Working professionals — structured, no-fluff upskilling in Data Science and Machine Learning on a flexible schedule
Career switchers & beginners — patient, judgment-free onboarding into tech, starting from absolute zero if needed
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Rates
Rate
- $10
Pack prices
- 5h: $50
- 10h: $100
online
- $10/h
free lessons
The first lesson with Nikhil will allow you to get to know each other and discuss your needs for future lessons.
- 1hr
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