the developer
India, Uttar Pradesh
+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