College and early career: internships, projects, learning strategy, and landing your first job.
A structured 12-month roadmap for CAT preparation covering Quant, VARC, LRDI, mock tests, revision, and interview readiness.
A focused 90-day CAT preparation strategy for late starters and repeat candidates.
A clear breakdown of the CAT exam pattern — sections, question types, marking scheme, and duration — for first-time and repeat test takers.
A realistic CAT preparation approach for working professionals balancing a full-time job with exam preparation — time management, pacing, and what to prioritize.
An introduction to the Common Admission Test (CAT), India's most important MBA entrance exam.
Why CAT results are reported as a percentile rather than a raw score, how normalization works across exam slots, and what percentile range different IIMs typically expect.
A topic-by-topic breakdown of the CAT syllabus across VARC, DILR, and Quantitative Aptitude, with guidance on where to focus first.
A realistic, non-overwhelming plan for coding interviews — what they actually test, how to practise so it transfers, and why explaining your thinking out loud matters as much as the answer.
A sane starting point for DSA that avoids the two common traps — grinding problems with no understanding, and drowning in theory with no practice — plus the order to learn topics in.
The single most valuable skill in a fast-moving field: teaching yourself a new tool or language without a course. A repeatable method that beats aimless tutorial-hopping.
What makes a student portfolio project actually stand out to recruiters — depth over quantity, finishing over starting, and how to present projects so their value is obvious.
An honest picture of what a computer science degree really is before you start — problem-solving over memorization, why it's not just 'learning to code', and how to set the right expectations for four years.
Why learning Git in your first year — long before any job — is one of the highest-return things a student can do, and how it doubles as a portfolio you build automatically.
How to scope a final-year capstone so it's ambitious enough to matter but achievable enough to finish — the single decision that determines whether a capstone succeeds or becomes a mess.
Why memorizing syntax is the slow road and understanding what each line does is the fast one — how to read your first programs so the knowledge sticks.
A concrete, step-by-step playbook for landing your first internship when you have little to no experience — where to look, how to apply, and how to handle the rejections everyone gets.
A practical playbook for surviving placement season with your sanity intact — how to prepare, how to handle rejections, and how to keep perspective when peers get placed before you.
How to start specializing without panicking about a permanent decision — a low-pressure way to explore tracks like web, data, and systems, and why your first choice isn't a life sentence.
The real differences between being a student and being an employee that nobody warns you about — how problems change from 'has a known answer' to open-ended, and how success is measured differently.
A mental model for the four years ahead — what actually compounds, why comparison is a trap, and how to spend your time so you graduate genuinely capable rather than just credentialed.
What to actually do in your first three months at your first job — how to onboard well, what managers expect from a new graduate, and how to build a reputation that compounds.
The everyday habits — not raw talent — that actually separate students who thrive from those who scrape by, and how to build them starting in first year.
How to make an internship count once you have one — what managers actually want from an intern, how to be genuinely useful, and how to turn it into a return offer or a strong reference.
How to write a strong one-page resume when you have no job history yet — what to put on it instead, what recruiters actually look for, and the mistakes that get resumes discarded.
A from-scratch lab to get your first coding environment working — editor, a language runtime, the terminal, and Git — so setup friction never blocks your learning again.
A structured lab for building your first project that's genuinely yours — not a copied tutorial — scoped small enough to actually finish, and set up so it doubles as portfolio material.