Hi There,
I'm
Shubham Yadav
i am into
About Me
I am a Software Developer, Web Developer, and Machine Learning Enthusiast from Rajasthan, India. Currently pursuing a B.Tech in Computer Science and Engineering at NIT Arunachal Pradesh, I have a strong foundation in Data Structures & Algorithms, Object-Oriented Programming, Web Development, System Design, and Machine Learning.I have gained hands-on experience through internships at Gigly, IIT Guwahati (NERERL), and IIT Patna, working on projects like solar inspection systems and cybersecurity attack detection using ML/DL models. My expertise includes C++, Java, Python, React.js, and Machine Learning, and I am currently exploring Spring Boot.Passionate about building Full-Stack Web Applications, I love solving complex problems and developing innovative solutions. With a strong track record in software development, ML projects, and leadership in tech communities, I am constantly working to refine my skills and expand my knowledge.
email : shubhamyadav960212@gmail.com
place : Neemrana, Rajasthan, India - 301705
Education is not about memorizing facts, but about cultivating the ability to think critically and creatively..
National Institute of Technology Arunachal Pradesh | NIT-AP
Cambridge Senior Secondary School, Singhana | RBSE
Atulyam is the Annual Cultural Fest of NIT Arunachal Pradesh. Designed and Developed the website integrating the latest technologies like React.js and javascript. Website provides event details, schedules, registrations, and live updates, offering a seamless experience for participants and attendees.
Addovedi is the Annual Technical Fest of NIT Arunachal Pradesh. The website was designed and developed using cutting-edge technologies like React.js and JavaScript, ensuring a dynamic and responsive user experience. It serves as a central hub for event details, schedules, registrations, and real-time updates, providing participants and attendees with a smooth and engaging platform.
Developed a Machine Learning-powered Web Application for Solar Plant Inspection and Analysis, enabling efficient fault detection and performance prediction. Designed a web-based platform to streamline the identification and resolution of solar panel issues, leveraging modern web technologies for seamless user interaction. Engineered a Machine Learning model for fault detection and performance prediction, achieving an 85% accuracy rate, enhancing the reliability and efficiency of solar plant maintenance.
The Housing Price Estimation project is something I worked on to predict house prices using machine learning algorithms. I used various features like location, size, number of rooms, and more to build a model that estimates house prices. The project involves data preprocessing, feature selection, and applying regression models to make accurate predictions. It's a great way to explore the housing market and dive into predictive analytics.
A Machine Learning-powered web application that predicts calories burned based on user activity and health metrics. Built using Python, Flask, and ML algorithms, it provides accurate insights for fitness tracking and health monitoring.
The Amazon Clone project is something I built to replicate the core features of the Amazon e-commerce platform. It includes a user-friendly interface for browsing products, adding them to the cart, and completing purchases. The project utilizes front-end technologies like HTML, CSS and JavaScript. It’s a great way to understand how e-commerce websites work and practice building full-stack applications..
June 2024 - July 2024
May 2024 - June 2024
November 2023 - December 2024
