CS undergrad at VIT-AP — building ML pipelines, data dashboards & full-stack systems. From messy spreadsheets to decisions that ship.
I'm not just comfortable with data — I like understanding why it's messy, tracing it back to the system that produced it, and fixing both. I've built pipelines in Python and Pandas on real projects, applied ML models with interpretability layers clinicians can actually trust, and shipped dashboards that moved real operational metrics.
I'm looking for an environment where I can sit next to a senior engineer, watch how they actually approach a problem end-to-end, and contribute something that ships. I don't shy away from structured process — I'd rather follow a solid playbook than guess.
| Full name | Prajit K |
| University | VIT-AP University, Amaravati |
| Degree | B.Tech — CSE |
| Graduation | September 2027 |
| Location | Tumakuru / Bengaluru, KA |
| prajit016@gmail.com | |
| GitHub | github.com/prajitk2006 |
| linkedin.com/in/prajit-k | |
| Phone | +91 81235 30663 |
| Status | Open — seeking internships ✦ |
An ML diagnostic system that reads structured lab report data and predicts disease risk using XGBoost — with SHAP integrated to show clinicians exactly which biomarkers drove each prediction. Served as a Flask API for real-time inference.
An end-to-end data pipeline feeding a custom interactive web dashboard — tracking admissions, bed occupancy, and patient flow. Drill-down views helped staff reduce wait times by 12% and accelerate bed turnover by 18% through data-informed resource allocation.
Developed a real-time weather dashboard to monitor temperature, humidity, and air quality using IoT sensors. Automated data collection and visualization, improving environmental monitoring accuracy by 25%. Enhanced farmers’ decision-making through interactive dashboards displaying key farm metrics.
Open to internships, data projects, and collaborations. I respond fast — if you have a real problem and want someone who'll get their hands dirty, let's talk.