Twitter Sentimental Analysis

Twitter Sentimental Analysis, is a project based on the Machine Leanrning and uses Natural Language Processing Models (NLP).In this project i pre processed tweet text data for sentiment analysis.Built and trained a sentiment analysis model using machine learning libraries.Implemented feature extraction and model training using scikit-learn and also vectorized the tweet data. Achieved an accuracy score of 96% on Training data and 87% on Test data for sentiment classification using RandomForest Model.

Expense Tracker BackEnd

The ExpenseTracker is a backend application designed to efficiently manage users financial transactions. Built using Node.js, Express.js, and MongoDB, this project focuses on the server-side logic and database management, providing a solid foundation for handling user authentication, transaction recording, and categorization. The backend services are designed to be scalable and secure, ensuring reliable data management.

ToDo List APP

The ToDoList_APP is a React-based project that implements a simple to-do list. It allows users to add, delete, and reorder tasks. The project uses React's useState hook to manage the list of tasks and includes functionalities for handling input changes, adding new tasks, and moving tasks up or down in the list. The app is built using React and Vite, offering a minimal setup for quick development and hot module replacement (HMR). GitHub Repository

Django CRUD Application

The CRUDAPP_DJANGO project is a web application built using Django, a high-level Python web framework. It implements basic CRUD (Create, Read, Update, Delete) operations, allowing users to manage a database of items through a web interface. The project structure includes typical Django components such as models, views, and templates, and it demonstrates how to perform CRUD operations in a scalable and maintainable way. The project also includes HTML files to render the web pages and is designed to be a foundational project for beginners to understand Django.

Quiz Application

The QuizAPP is a web-based application developed using HTML, CSS, and JavaScript. It provides an interactive quiz experience with dynamic question content across various topics. The app features a user-friendly design, real-time feedback on answers, a responsive layout for different devices, and a scoring mechanism to track performance. Users can easily navigate through questions using a "Next" button, enhancing the overall quiz-taking experience.

Full Stack Developer

IIDT BlackBucks Pvt Ltd

Developed a CRUD web application using Django framework and Django REST Framework (DRF) for back end API development. Designed a responsive user interfaces using HTML, CSS and JavaScript, Developed and deployed Restful API for performing CRUD operations on the data, allowing for efficient data management and interaction.

Cloud Architect

BlackBucks Pvt Ltd

Collaborated on the development of a Scalable User Driven Architecture during my internship at BlackBucks Pvt Limited, contributing to the enhancement of the Notification service for the Users. Enhance user account security, resulting in a 40% decrease in successful threat incidents and a 60% improvement in incident response time.