About

I’m a Data Scientist and Machine Learning Engineer who builds production-grade models that scale. From detecting brain tumors with CNNs to forecasting stock trends with 98% accuracy, I translate messy data into measurable outcomes.

With a stack spanning Python, TensorFlow, SQL, and AWS, I design ML pipelines and analytics systems that drive decisions — fast, reliable, and at scale.

Projects

You know how some people light up at the sight of ice cream, mixing flavours and piling on toppings? That’s how I feel about data, each project is a new flavour to explore, layer, and optimise.

I began with a Bachelor’s in Computer Engineering, driven by the joy of building. That led to a Master’s in Data Science at the University of Adelaide, where I’ve designed and deployed solutions in deep learning, predictive modelling, and data automation including diagnostic AI for medical imaging and forecasting systems with 98% accuracy. For me, data isn’t just numbers, it’s a medium for solving meaningful, real-world problems at scale.


HAMT

Australian Tax Return AI Assistant

2025

Call Center Optimisation using PPO

Final Year Masters Project

2025

Text to SQL App

Gemini Powered SQL App

2025

Falcon-7B-Instruct Offline AI Chatbot

Offline AI Chatbot

2025

Seoul Bike Data Prediction

Data - 2017 & 2018

2024

Apple Stock Prediction

Data : 2014-2023

2024

Experience

Error 404 not found? That used to be me, no fancy job title, just a curious mind, a lot of late nights, and a folder full of projects that taught me more than any textbook ever could. When I came to Australia to pursue my Master’s in Data Science, I noticed something funny: most people were chasing grades. I decided to chase real problems instead.

I got my hands dirty building forecasting models with 98% accuracy, deep learning tools for medical imaging, and AI agents to automate everyday tasks. These weren’t assignments — they were things I genuinely cared about. I learned to wrangle messy datasets, work with Python, SQL, TensorFlow, and Power BI, and most importantly, to think like a builder.

That mindset led me to a consulting internship at Infosys, where I worked with 14TB of financial data and helped senior leaders make faster, smarter decisions. And recently, I joined a fast-paced AI startup to take my skills even further, building things that make a difference, at scale.

Thanks for taking a moment to hear the story behind the titles, the one that doesn’t fit in a LinkedIn headline. If you're looking for someone who doesn’t just work with data but builds intelligent systems that drive decisions, accelerate innovation, and scale impact, let’s connect. I bring curiosity, real-world execution, and the mindset to turn complex problems into powerful solutions.

Developed by S.Harish Krishnan in Visual Studio Code, built with raw WebGL2, HTML, CSS and JavaScript no extra libraries or tools needed.

S.Harish Krishnan

I train machines to learn, humans to trust insights, and data to tell stories. ML is my canvas, data is my brush.