Solving Financial Problems with

Background

Hi, I'm Abhay — currently pursuing B.Tech in Electrical Engineering at National Institute of Technology, India. My interest in AI and data didn't start in a classroom — it started with a failed attempt to build a chatbot in Python. That moment didn't just spark curiosity; it fundamentally changed how I view technology.
Since then, I've been on a mission to understand how machines learn, how data becomes insight, and how math powers real-world systems. I've spent time exploring:
- How neural networks learn from patterns,
- How algorithms predict trends,
- And how financial data can be modeled to simulate real market behavior.
I'm passionate about breaking complex problems into structured code — whether it's cleaning messy datasets, training models, or backtesting trading strategies.
Rather than just following tutorials, I build things. I try, fail, debug, and try again. That process — solving a real problem through logic and experimentation — is what makes me excited about this field.

Current Focus

I'm actively working on projects that bridge finance and machine learning, and I'm always looking for opportunities to apply what I learn in real-world team settings.

"If you're looking for someone who loves learning through building, works well in teams, and stays consistent — I'd love to connect and contribute."