SUSOVHAN KUNDU

I’m a Full Stack Intern and Machine Learning Intern who enjoys turning complex problems into reliable, user-friendly systems. I build production-focused features—secure authentication, scalable REST APIs, and data pipelines—so products feel fast and dependable.

In a Full Stack internship at CipherByte Technologies, I developed a Metro Ticket Booking System with real-time seat availability and booking management, improving booking efficiency by ~50%. I also designed scalable RESTful APIs and database schemas, cutting booking processing time by ~35%, and implemented secure user authentication and dynamic fare calculation to enhance reliability and user experience by ~40%.

I also create interpretable ML solutions: I engineered 5+ machine learning models (Regression, Random Forest, XGBoost) reaching accuracy up to 93%, and automated preprocessing with Standard Scaler to elevate accuracy by 18% while reducing manual effort by 70%. Through projects like Data Vision (a low-code automated ML insight platform using PCA and SHAP) and my HyperLocal Reverse Logistics system (React/Node/MongoDB workflow improvements), I focus on practical outcomes, clear insights, and scalable architecture.