I am Shubham Senani, a dedicated B.Tech student majoring in Computer Science and Engineering at Indian Institute of Information Technology Vadodara. My passion lies in the dynamic realms of programming and web development. As a MERN stack developer, I thrive on creating innovative and user-centric solutions. My journey in technology is marked by a keen interest in mastering the intricacies of MongoDB, Express.js, React.js, and Node.js to build robust and scalable applications. Eager to explore new horizons and embrace challenges, I am committed to continuous learning and contributing to the ever-evolving landscape of software development.
The languages I find most intriguing and often use in my work include those for software engineering.
I like tools that make front-end web development and component design smooth and effective.
I prefer technologies that excel in back-end web programming and efficient database architecture.
I favor tools that simplify version control, streamline code editing, and optimize container orchestration.
I contributed to the development of Horizon, a dynamic tech-fest website where Node.js, Express, and MongoDB power the robust backend, while React.js drives an interactive and engaging frontend. The collaborative environment allowed for seamless teamwork, using Git for version control. Horizon is not just a website; it's an innovation hub fostering continuous learning and creativity.
G i t h u b ! L i v e !Developed Echo-Mart, a dynamic MERN (MongoDB, Express.js, React, Node.js) e-commerce platform, with integrated payment capabilities using Stripe. By seamlessly incorporating Stripe's payment system, Echo-Mart ensures secure and convenient transactions for users. This project not only demonstrates my proficiency in the MERN stack but also underscores my ability to integrate third-party services to enhance the functionality of web applications, providing a robust and secure e-commerce experience.
G i t h u b ! L i v e !Developed a React.js application enabling users to book TV shows online, utilizing the TVMaze public API for seamless integration of show data. This project showcases my proficiency in React.js and API integration, providing users with an intuitive platform to explore and book their favorite TV shows effortlessly.
G i t h u b ! L i v e !Conducted Airbnb Data Analysis using Python with a focus on data preparation, analysis, and visualization. Employed NumPy and Pandas for robust data handling, Matplotlib for clear visualizations, and Dash by Plotly for interactive graphs. Leveraged Flask for seamless web rendering, showcasing a streamlined and user-friendly data exploration experience. This project underscores my proficiency in extracting insights from complex datasets and my ability to present them in an engaging and accessible manner.
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