My tool set (Growing day by day)
Honest confession — every single one of these came from staying up too late, breaking things, and figuring out why. I'm weirdly proud of that.
Projects
A selection of things I've built — from experiments that worked to experiments that taught me a lot.
Project Title One
A short description of what this project does, the problem it solves, and the key technologies used. Replace this with your actual project summary.
Project Title Two
A short description of what this project does, the problem it solves, and the key technologies used. Replace this with your actual project summary.
Project Title Three
A short description of what this project does, the problem it solves, and the key technologies used. Replace this with your actual project summary.
Things I've written about ✍️
Things I learned the hard way — so you don't have to. Grab a coffee ☕ and let's dig in.
GPT-5 Is Coming in July 2025 — And Everything Will Change
Okay, I may have lost sleep over this one. If GPT-4 already blew your mind — buckle up, because GPT-5 is a whole different league. Let me walk you through what's coming...
The Ultimate MCP Handbook: From Basics to Advanced LLM Integration
You want to talk to your AI like it actually *knows* your data? That's what MCP is for. I wrote this guide starting from zero — no jargon, just vibes and working code. Let's build something.
The Art of Data Visualization: A Complete Guide
Numbers without context are just noise. Here's how I make data *say something* — from picking the right chart to making it look like you actually tried. Spoiler: color theory matters.
Optimizing Python Code for Data Science
Your pandas loop is slow. I've been there. Here's everything I do to make Python go brrrr — vectorization, parallelism, memory tricks, and the stuff nobody tells you upfront.
From Training to Production: Deploying Deep Learning Models
Training a model is the fun part. Shipping it is where most people get stuck. I've made all the mistakes so I can now give you the cheat sheet — Docker, APIs, cloud setup, the whole thing.
Advanced Feature Engineering Techniques for Better Models
Garbage in, garbage out — but great features in? Magic out. Let me show you the tricks I use to squeeze the most signal out of raw messy data before it even sees a model.
How can I help?
Whether you've got a messy dataset, a business question nobody can answer, or a model that needs to actually work in the real world — this is where I come in. Let me show you what we can do together.
Let's make sense of your data
You've got data sitting somewhere doing nothing useful. I'll dig in, find the patterns, and hand you insights you can actually act on — not just pretty charts, real answers.
Let's teach your system to think
Predictions, recommendations, automation — if it can learn from data, we can build it. I'll take you from "wouldn't it be cool if..." all the way to something that actually works.
Let's stop guessing and start knowing
Gut feeling is great, but data-backed gut feeling is better. I'll help you build dashboards, track what matters, and give your team a single source of truth everyone trusts.
The nerd behind the numbers 🤓
Alright, let me introduce myself properly — I genuinely love what I do, and somehow turned that passion into a career. Here's my story.
Hi! Vishnu Prakash here. I'm a data scientist and honestly, I couldn't imagine doing anything else. Most days you'll find me at my desk building something with data, writing Python, or going down a research rabbit hole at 2am.
I didn't just stumble into data science — I actively chose the messiest, most interesting problems I could find. I love that moment when raw numbers suddenly tell a story nobody expected. That's the good stuff, and it's what gets me out of bed every morning.
- Location: Ernakulam, Kerala, India
- Phone: +91 80780 43398
- Email: vishnucheppanam@gmail.com
- Freelance: Available
"Show me the data" mode, always
I get suspicious of gut feelings without backup. Not because intuition is bad — it's great — but because data either confirms it or saves you from an expensive mistake. Let's find out which one.
Permanently in student mode
Last week I was reading about a technique that didn't exist six months ago. That's this field — and honestly? I love it. The day I stop learning is the day I find a new field. That day is not coming soon.
The problem first, the tool second
I've seen people reach for deep learning to solve a problem that needed a simple average. Cool tech is fun, but I'd rather use the right thing. Walk me through your problem — let's figure out what it actually needs.
I do my best work with people
The best solutions I've built didn't come from sitting alone — they came from someone on the business side saying "that's not quite it" and us figuring out what "it" actually was together. That back-and-forth is where the magic lives.
Let's talk!
I genuinely read every message. Whether you want to collaborate, ask something data-sciency, or just say hi — drop me a line. I'll get back to you!