MBA (Operations) candidate at PES University with a data-science foundation and three generations of business in the family. I've run a manufacturing unit end to end and I build AI agents, automated trading systems, and analytics tools.
I come from a family with three generations in business, so I learned early how operations, cost, and customers actually fit together. With my brother I co-founded and ran an areca-plate manufacturing unit — buying raw material, running production, selling to retailers and wholesalers, and squeezing out waste until early losses turned into steady profit.
Alongside that, I trained in data science and engineering and now build practical software: an AI assistant that runs 24/7, an automated trading agent, and a hospital management system I'm currently delivering for a client. My MBA in Operations ties it together.
What I enjoy most is the same thing in every context — taking a messy process, understanding it deeply, and using data to make it run better. That's the role I'm looking for: operations and analytics, where decisions get made with evidence.
Coloured dots mark where a role leaned — amber for operations, cobalt for data & software.
From production AI systems I run myself to analytics projects that sharpened the fundamentals.
A 24/7 assistant running on free-tier cloud that manages tasks, reminders, notes, study tracking, and a daily news digest — built on a multi-LLM setup with a fallback chain so it keeps working when any one model is down.
An algorithmic trading agent for Indian stocks (NSE) and crypto (Binance) built with safety and cost control first — ML to filter signals, reinforcement learning for entries and exits, and a cost engine for fees, slippage and taxes. Runs in paper-trading before any real money.
Base model to predict a person's credit score from banking details — gathering, cleaning, EDA, modeling and tuning.
Predicting fraudulent transactions so customers aren't charged for purchases they never made.
Extracting web & social data to analyze market trends, consumer behavior and sentiment with NLP.
Real Crunchbase data used to identify the best countries and investment types — where investors are investing.
I'm open to operations, business analyst and data analytics roles. The fastest way to reach me is email — I reply quickly.