shalin dhanani

I’m a results-driven Computer Science graduate student with hands-on experience in full-stack development and machine learning. I’ve built 5+ applications using MERN stack and Python, translating data into actionable product features.

In my projects, I focus on predictive analytics and algorithmic optimization. My Credit Risk Prediction Model trained a Random Forest classifier on 15+ variables and achieved 87% accuracy, enabling risk-based lending insights with potential $2M+ annual savings at banking scale.

Across my development work, I prioritize performance and scalable architecture. As a Web Developer Intern, I built full-stack applications with Node.js, Express.js, MongoDB, and React.js serving 500+ users, developed a travel booking platform with 15+ REST APIs and Swagger documentation, and reduced API response time by 25% via optimized MongoDB queries and schema design.

I also enjoy solving real-world automation problems with ML and backend services. With TensorFlow, Flask, and EasyOCR, I implemented vehicle license plate recognition across 28 Indian states at 92% accuracy and deployed a scalable Flask web service to save $100K+ in toll/parking operations.