Greetings! I'm Vismay Walde, a passionate and curious individual currently pursuing my B.Tech in Mathematics and Computing at IIT Ropar. I enjoy exploring the intersections of data, code, and real-world impact through hands-on projects and continuous learning.
My journey spans experiences in data analytics, full-stack web development, and machine learning, where I’ve worked on projects like a News Conspiracy Detection System, Instagram User Analytics, and operational dashboards using SQL, Flask, React, and PostgreSQL. I take pride in crafting applications that are not only functional but also user-centric and insightful. I enjoy turning ideas into clean, efficient code.
Whether it’s analyzing user engagement data, building clean web interfaces, or integrating AI models into production-ready systems, I thrive on solving meaningful problems through technology. Let’s connect and collaborate on creating smart, meaningful, and forward-thinking tech solutions together!
Model Training and Fine-Tuning
Enthusiastic and Motivated Mathematics and Computing student. Eager to apply problem-solving skills, programming expertise, and knowledge of web technologies to contribute to innovative projects.
Below are the projects I have worked on
Built a web app for uploading and downloading files to a GitHub repo via its API. It uses HTML, CSS (Bootstrap), JavaScript, Node.js with Express.js, Multer for file uploads, and Axios for HTTP requests, with secure token management through environment variables.
Implemented the BPlus tree data structure in C, exploring its concepts, design, and core operations like insertion, deletion, and search. It also analyzed performance, comparing with Btrees to highlight their advantages and limitations in real-world scenarios.
Used SQL in MySQL Workbench to analyze Instagram user data, identifying loyal users, inactive accounts, top hashtags, optimal ad campaign days, and detecting bots, providing valuable insights for product, marketing, and investor reports.
Developed a responsive To-Do Task Manager in React.js with features to add, edit, complete, and delete tasks, using local storage for persistence. It includes a task counter, real-time updates, also deployed on Netlify for easy access.
Created an IoT-based security system with a Raspberry Pi, MySQL database, RFID reader, LCD touchscreen. The system uses RFID and fingerprint scanning for security and features real-time monitoring, access logs and an alarm that triggers after multiple failed attempts.
Perfume Shop is a full-stack e-commerce web application for browsing perfumes. The project uses React.js for the frontend, Node.js and Express for the backend, and MongoDB as the database. This application allows users to browse products, view details and add reviews.
Conducted a concise examination and analysis of the Diffie-Hellman key exchange algorithm, including its mathematical aspects and potential attacks, with detailed breakdowns of each.
Performed advanced SQL analysis on job and user data to derive insights for operational improvement, including job review trends, language share, weekly engagement, growth, and retention metrics using MySQL Workbench.
The AI-Powered News Aggregator is a web-based application that analyzes news headlines and assigns a Conspiracy Score (0-100%) using ML models. The system helps detect clickbait, misinformation, and neutral news dynamically, empowering users to evaluate the credibility of headlines.