Titanic Survival (EDA and Modeling)
Explorated Titanic dataset and developed a model to predict survival
Explorated Titanic dataset and developed a model to predict survival
Built a real-time sentiment analysis system from scratch and deployed it with dynamic data collection, machine learning, and interactive visuals
Developed a model to predict customer churn using the Telco Customer Churn dataset.
Explored weather data to predict rainfall using machine learning models
Built a real-time demand forecasting pipeline using event streaming, database integration, forecasting models, and a cloud-hosted interactive dashboard.
A lightweight, offline-first note-taking app built with React, Tailwind, and localStorage. Built for speed, simplicity, and daily use.
A full-stack expense splitting platform built with Java, Spring Boot, React, and Tailwind. Create groups, track shared expenses, and calculate who owes who i...
A question-answering system built with Python and Google Gemini to provide context-aware answers based on board game rulebooks using Retrieval-Augmented Gene...