Durga prasad JamulaDJ
Open to opportunities

Durga prasad Jamula

@durgaprasad_jamula

Experienced Electronics and Communication Engineering student with a passion for web development.

India
Message

I am a dedicated and ambitious Electronics and Communication Engineering student at NIT Surat, expected to graduate in 2024. With a strong foundation in programming languages such as C, C++, Python, and JavaScript, I have developed a keen interest in web development and have gained proficiency in frontend technologies like HTML, CSS, React, and Bootstrap, as well as backend technologies like Node.js, Express.js, and MongoDB.

During my academic journey, I have successfully completed several projects that showcase my technical skills and problem-solving abilities. One of my notable projects is an E-commerce web application built using React.js and Rest API's, which provides a personalized and interactive shopping experience for users. Additionally, I have developed a global countries database and search engine, utilizing REST API calls and JavaScript, to provide instant access to country information.

Furthermore, I have also gained experience in machine learning techniques, particularly in the field of handwritten digits classification. I have developed and fine-tuned models using CNN, KNN, SVM, and Random-Forest algorithms, achieving accurate results and demonstrating versatility in model selection.

Experience

GitHub logoGI
Current

E-Commerce Web Application

GitHub

Developed an E-commerce dynamic web application with features like product category, shopping cart integration, and real-time inventory management. Utilized React.js, Rest API’s, and CSS.

GitHub logoGI
Current

Countries Search

GitHub

Developed a global countries database and search engine with asynchronous data retrieval through REST API calls, combined with Bootstrap and CSS for a responsive design. Implemented local search functionality through input elements, JavaScript event listeners, and Array filter methods.

GitHub logoGI
Current

Handwritten Digits Classification Using Deep Learning

GitHub

Developed and fine-tuned models for handwritten digits classification using CNN, KNN, SVM, and Random-Forest algorithms. Achieved accurate results and demonstrated versatility in model selection, showcasing proficiency across various machine-learning techniques.

Tech stack

Learn about the tools and technologies that Durga prasad likes to use.

Availability

Open to opportunities

Location

India

Authorized to work in

Salary expectations

700k-1500k INR

Job categories

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