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Hello, My name is Skand Dev Dixit


I am a Front-End Web Developer
My experties is to develop websites design, graphic design, and may more...

About Me

Hello, My name is Skand Dev Dixit
An Information Technology undergraduate at Jaypee University, specializing in front-end web development.Currently pursuing a B.Tech degree, I bring a passion forcrafting visually appealing and user-friendly websites. With astrong foundation in Information Technology, I thrive onblending creativity with functionality. Eager to contribute myskills to real-world projects, I stay updated on the latestindustry trends to ensure innovative and responsive solutions.

Qualifications

Skills

Experience

  • 2021 - Current
    B.Tech (IT)
    Jaypee University of Information Technology
    Solan
  • 2021
    Higher Secondary Education
    SBBS Smriti Vidhyapeeth
    Auraiya
  • 2019
    Secondary School
    Kahna International Academy
    Ajitimal, Auraiya
  • HTML
  • CSS
  • JavaScript
  • React.js
  • Machine Learning
  • Java
  • Python
  • MySQL
  • MS Office
  • 2021-2022
    Hostel Advisory Committee
    Jaypee University of Information Technology
  • 2018-2019
    House Captain
    Kahna International Academy

My Projects

CPU Scheduling and MA Simulator

This project represents an Operating System simulation developed using HTML, CSS, and JavaScript. The main objectives include solving CPU scheduling numericals and efficiently managing memory allocation. Byemploying front-end technologies, this project aims to enhance accessibilityand engagement for users interested in exploring and visualizing CPUscheduling and memory allocation complexities within an operating systemcontext.

Shop Management System

The Shop Management System, built in Java with MySQL and JDBC,optimizes retail operations. It facilitates employee management, customerinteractions with secure logins, and efficient inventory control. This robustapplication ensures productivity by seamlessly handling tasks related toemployees, customers, and inventory.

Sentiment Analysis from Text

This project is based on Machine Learning and Natural Language Processing. It facilitates to filter out the large dataset of reviews, comments or tweets weather they are positive or negative .

Whatsapp Chat Analyzer

This project is developed using python, and its library such as pandas, matplotlib and streamlit. It facilitates user to analyze their WhatsApp chats.

Contact Me

dixitskanddev@gmail.com

+91-7465956023

RESUME

Copyright Made by Skand Dev Dixit