0% found this document useful (0 votes)
25 views1 page

Resume 0

The document outlines the qualifications and experiences of a computer science student from Vellore Institute of Technology, with a CGPA of 7.92. It details technical skills in various programming languages and tools, along with internship experience as a web developer where they improved user onboarding and UI design. Additionally, it highlights several projects showcasing their ability to automate tasks, build applications, and analyze data effectively.

Uploaded by

Ajay Shahi
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
25 views1 page

Resume 0

The document outlines the qualifications and experiences of a computer science student from Vellore Institute of Technology, with a CGPA of 7.92. It details technical skills in various programming languages and tools, along with internship experience as a web developer where they improved user onboarding and UI design. Additionally, it highlights several projects showcasing their ability to automate tasks, build applications, and analyze data effectively.

Uploaded by

Ajay Shahi
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 1

the developer

India, Uttar Pradesh


ƒ +91-987456312 # hehe@gmail.com ï LinkedIn § Github
Education
Vellore Institute of Technology Sep. 2020 – June 2024
Bachelor of Technology in Computer Science – (CGPA-7.92) Bhopal, Madhya Pradesh

Technical Skills
Languages: C++, Python, Java, HTML/CSS, JavaScript, SQL, ReactJS
Developer Tools: VS Code, Postman, Firebase, Netlify, Streamlit, Replit
Technologies/Frameworks: Numpy, Pandas, Flask, ExpressJS, GitHub, MongoDB

Experience
Ethnus Consultancy May 2023 – July 2023
Web Developer Intern Remote
– Engineered a full stack job listing website using the MERN Stack, collaborating with a team of 4, resulting in a 25%
faster user onboarding process.
– Deployed MongoDB Atlas to manage over 200+ user inputs and job listings, ensuring a scalable and reliable database.
– Streamlined team collaboration through Git for version control, enhancing development efficiency by 15%.
– Enhanced the UI by developing a responsive design using ReactJS, JavaScript, and CSS, improving user engagement by
20%.

Projects
The Bot Project | Python, JavaScript December 2023
– Automated media sharing and chat moderation on Telegram by creating bots using Python and Google Cloud Console,
reducing manual intervention by 90%.
– Deployed the project using Flask and Replit for continuous daily operation from the cloud.
– Developed Chrome extensions to toggle dark mode and track browser analytics, resulting in 25% faster page loading
times.

Granthalaya | MERN Stack September 2023


– Built an E-Library app to manage a 500+ book catalog using the MERN stack, supporting 100 concurrent users.
– Implemented OOP principles like inheritance to handle various user roles, increasing system scalability by 30%.
– Designed a responsive front-end with ReactJS and Material UI, enhancing mobile accessibility by 40%.

VITMDB | Python December 2022


– Scraped IMDb data using BeautifulSoup and Requests, providing real-time movie information to 200+ users.
– Implemented robust error handling and data validation to ensure 99% accuracy in data display.
– Created a desktop application using Python and Tkinter to provide users with a GUI for accessing real-time IMDb data,
enhancing user interaction by 40%.

Sentiment Analysis of Tweets | Python, Streamlit March 2023


– Analyzed sentiment of 10,000+ tweets using Python, achieving 98% accuracy in classifying positive, negative, and neutral
emotions.
– Developed a Streamlit dashboard to visualize results, providing actionable insights for users.
– Optimized the analysis process by reducing data processing time by 30%, ensuring faster sentiment extraction across
large datasets.

Coursework
• Data Structures • Algorithms Analysis • Web Development • Networking
• Programming • Database Management • Internet Technology • Operating Systems
Certifications
• Data Management and Visualization, Coursera
• Bits and Bytes of Computer Networking, Coursera
• SQL for Beginners, Scaler

You might also like