Het Patel Email & Phone Number

Surat, Gujarat, India

- Build scalable web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js) and implemented server-side rendering with Next.js for enhanced SEO and faster loading times.- Designed and developed responsive user interfaces with Tailwind CSS and Bootstrap CSS, incorporating Three.js for dynamic and interactive animations.- Developed and deployed RESTful APIs to seamlessly integrated front-end interfaces and back-end systems, ensuring efficient data flow and scalability.- Integrated Firebase as a real-time database solution for user authentication and data synchronization, improving application reliability and performance.- Implemented Stripe payment gateway for an e-commerce platform to handle secure transactions, improving customer experience and operational efficiency.- Optimized deployment workflows with Docker containers and CI/CD pipelines, reducing deployment time and ensuring consistent builds across environments.- Contributed to building an end-to-end e-commerce platform, leveraging full-stack technologies to deliver a robust and user-friendly solution tailored to client requirements.

Surat, Gujarat, India

- Developed responsive web pages using HTML, CSS, and JavaScript, implementing best practices to optimize performance and user experience.- Acquired foundational expertise in React.js for creating dynamic, reusable front-end components and interactive user interfaces.- Gained hands-on experience with Node.js, enabling the implementation of server-side functionalities and efficient management of API requests.- Contributed to small-scale projects, applying core web development principles and delivering functional prototypes within collaborative team environments.- Enhanced understanding of front-end and back-end integration, establishing a strong foundation for full-stack development.

Ahmedabad, Gujarat, India

- Developed a sentiment analysis-based recommendation system for an e-commerce platform, utilizing ML models such as Logistic Regression, Random Forests, XGBoost, and LSTM to deliver personalized recommendations.- Implemented collaborative filtering techniques to enhance the recommendation system, improving user engagement and product relevance.- Gained expertise in data preprocessing, feature engineering, and data warehousing to ensure high-quality datasets for model training and validation.- Applied advanced machine learning methodologies, including ensemble learning and deep learning, to optimize system accuracy and performance.- Leveraged data visualization tools to analyze trends and present actionable insights, aiding strategic business decisions.

Macs, Computer Science

Bachelor Of Engineering - Be, Computer Engineering, 9.0/10

Activities and Societies: Associated with various clubs, such as software club, hackathon club, cultural club, and sports club.- A journey.

Education record

Class X - 8.8/10 Class XII - 8.0/10