I build end-to-end data solutions — from geospatial analysis and predictive modelling to computer-vision pipelines and AI-powered chatbots. Data should do something meaningful in the real world.
// about.me
I'm Rupesh Pandey — a Statistics postgraduate at The Maharaja Sayajirao University of Baroda. I'm deeply interested in how data can expose hidden structure in the world: urban inequality, box-office dynamics, railway safety, agricultural intelligence.
My stack spans classical statistical modelling all the way to YOLOv8 and LLM integrations. I love picking up new tools fast and building things that actually ship — and I do it all from Arch Linux.
Outside of data, I founded my university's Statistics Association, organise department datathons, and hold first place in inter-faculty sports. Consistent discipline is my edge — currently on a 365-day DSA streak.
// tech_stack
// selected_work
// work.log
// education.log
// activities.log
// connect
Open to internships, research collaborations, and interesting data challenges.
Working on something meaningful with data? I'd love to hear about it.