I'm Recently Graduate with a Bachelor of Engineering in Computer Science & Engineering from Shri Sant Gajanan Maharaj College of Engineering, Shegaon, with an impressive 8.4 CGPA.
I like to meet new people and learn new thing . I'm experienced in programming language including C , SQL , HTML5 , CSS3 , javascript , jQuery , Java , Advance Java (JDBC , Servlet , JSP , Hibernate Framework , Spring , Spring boot , RestAPI ) , Angular , ReactJs do something grate . I am always adding new skills to my professional range .
I'm always curious about things and enjoy learning . I like to solve problem. In addition I have completed 6 months Java full stack training at Seed Infotech Pune.
Downlode Resume
Duration: July 2023 - February 2024
Description: Completed 6-month Java Full Stack training at Seed Infotech Pune.
Duration: 24 Jun 2021 - 24 Aug 2021
Description: Completed 3-month BackEnd Devlopment training at TCR Innovation.
Duration: 1 Oct 2021 - 1 Nov 2021
Description: As a Web Development Intern at LetsGrowMore, I was tasked with developing and improving various web applications. I successfully completed tasks, which involved implementing new features and optimizing existing functionality.
Front-end: Angular. Angular is a complete framework and makes it easy to divide the application into different components. Back-end: Spring Boot. Database: MySQL.
Users first register with email, password, and username, then log in to access the system. After login, the home page displays "Welcome [username]" with a logout option. The system provides travel packages under "Places to Go" and activities under "Things to Do," with detailed information and a booking form. Users can view, edit, and manage bookings.
In the back end, POJO handles data, Repository connects to the database, Service manages logic, and Controller handles CRUD operations.
The Diabetes Prediction System uses Machine Learning algorithms to estimate diabetes risk based on data such as age, glucose levels, and BMI. It employs methods like Logistic Regression, Decision Trees, Random Forest, and SVM for classification. Data is preprocessed by cleaning, normalizing, and selecting features before model training. Accuracy varies with algorithms, with Random Forest and SVM typically achieving 75% to 85%. Cross-validation is used to assess model reliability. The system aids in early diabetes risk diagnosis.
• Developed a user-friendly interface utilizing Python, ML algorithms, Flask.
The Blog Website built with Django allows users to register, log in, and manage their accounts while creating, editing, and deleting blog posts. It includes a commenting system for reader interaction and organizes posts with categories and tags for easy navigation. The site features a search function and is designed to be responsive across various devices. Django handles the back-end logic, including user authentication, content management, and database interactions. The database stores user details, posts, and comments. Overall, Django provides a robust framework for building a feature-rich and user-friendly blogging platform.